---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21473'
abstract:
- lang: eng
text: Physical exercise acutely improves hippocampus-dependent memory. Whereas animal
studies have offered cellular- and synaptic-level accounts of these effects, human
neuroimaging studies show that exercise improves hippocampal-cortical connectivity
at the macroscale level. However, the neurophysiological basis of exercise-induced
effects on hippocampal-cortical circuits remains unknown. Experimental evidence
supports the idea that hippocampal sharp wave-ripples (SWR) play a critical role
in learning and memory. Coupling between SWRs in the hippocampus and neocortex
may reflect modulations in inter-regional connectivity required by mnemonic processes.
Here, we examine the hypothesis that exercise modulates hippocampal-cortical ripple
dynamics in the human brain. We performed intracranial recordings in epilepsy
patients undergoing pre-surgical evaluation, during awake resting state, before
and after an exercise session. Exercise increased ripple rate in the hippocampus.
Exercise also enhanced the coupling and phase-synchrony between cortical ripples
in the limbic and the default mode (DM) cortical networks and hippocampal SWRs.
Further, a higher heart rate during exercise, reflecting exercise intensity, was
related to a subsequent increase in resting state ripples across specific cortical
networks, including the DM network. These results offer the first direct evidence
that a single exercise session elicits changes in ripple events, a well-established
neurophysiological marker of mnemonic processing. The characterisation and anatomical
distribution of the described modulation points to hippocampal ripples as a potential
mechanism by which exercise elicits its reported short-term effects in cognition.
acknowledgement: We acknowledge the generosity of the patients, who contributed time
and effort to take part in this study.
article_number: fcag041
article_processing_charge: Yes
article_type: original
author:
- first_name: Araceli R.
full_name: Cardenas, Araceli R.
last_name: Cardenas
- first_name: Juan F
full_name: Ramirez Villegas, Juan F
id: 44B06F76-F248-11E8-B48F-1D18A9856A87
last_name: Ramirez Villegas
- first_name: Christopher K.
full_name: Kovach, Christopher K.
last_name: Kovach
- first_name: Phillip E.
full_name: Gander, Phillip E.
last_name: Gander
- first_name: Rachel C.
full_name: Cole, Rachel C.
last_name: Cole
- first_name: Andrew J.
full_name: Grossbach, Andrew J.
last_name: Grossbach
- first_name: Hiroto
full_name: Kawasaki, Hiroto
last_name: Kawasaki
- first_name: Jeremy D.W.
full_name: Greenlee, Jeremy D.W.
last_name: Greenlee
- first_name: Matthew A.
full_name: Howard, Matthew A.
last_name: Howard
- first_name: Kirill V.
full_name: Nourski, Kirill V.
last_name: Nourski
- first_name: Matthew I.
full_name: Banks, Matthew I.
last_name: Banks
- first_name: Michelle W.
full_name: Voss, Michelle W.
last_name: Voss
citation:
ama: Cardenas AR, Ramirez Villegas JF, Kovach CK, et al. Exercise enhances hippocampal-cortical
ripple interactions in the human brain. Brain Communications. 2026;8(2).
doi:10.1093/braincomms/fcag041
apa: Cardenas, A. R., Ramirez Villegas, J. F., Kovach, C. K., Gander, P. E., Cole,
R. C., Grossbach, A. J., … Voss, M. W. (2026). Exercise enhances hippocampal-cortical
ripple interactions in the human brain. Brain Communications. Oxford University
Press. https://doi.org/10.1093/braincomms/fcag041
chicago: Cardenas, Araceli R., Juan F Ramirez Villegas, Christopher K. Kovach, Phillip
E. Gander, Rachel C. Cole, Andrew J. Grossbach, Hiroto Kawasaki, et al. “Exercise
Enhances Hippocampal-Cortical Ripple Interactions in the Human Brain.” Brain
Communications. Oxford University Press, 2026. https://doi.org/10.1093/braincomms/fcag041.
ieee: A. R. Cardenas et al., “Exercise enhances hippocampal-cortical ripple
interactions in the human brain,” Brain Communications, vol. 8, no. 2.
Oxford University Press, 2026.
ista: Cardenas AR, Ramirez Villegas JF, Kovach CK, Gander PE, Cole RC, Grossbach
AJ, Kawasaki H, Greenlee JDW, Howard MA, Nourski KV, Banks MI, Voss MW. 2026.
Exercise enhances hippocampal-cortical ripple interactions in the human brain.
Brain Communications. 8(2), fcag041.
mla: Cardenas, Araceli R., et al. “Exercise Enhances Hippocampal-Cortical Ripple
Interactions in the Human Brain.” Brain Communications, vol. 8, no. 2,
fcag041, Oxford University Press, 2026, doi:10.1093/braincomms/fcag041.
short: A.R. Cardenas, J.F. Ramirez Villegas, C.K. Kovach, P.E. Gander, R.C. Cole,
A.J. Grossbach, H. Kawasaki, J.D.W. Greenlee, M.A. Howard, K.V. Nourski, M.I.
Banks, M.W. Voss, Brain Communications 8 (2026).
corr_author: '1'
date_created: 2026-03-22T23:04:34Z
date_published: 2026-03-09T00:00:00Z
date_updated: 2026-03-23T14:30:47Z
day: '09'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1093/braincomms/fcag041
file:
- access_level: open_access
checksum: b5b45c16defeaf88056fc3b939bd0350
content_type: application/pdf
creator: dernst
date_created: 2026-03-23T14:27:39Z
date_updated: 2026-03-23T14:27:39Z
file_id: '21478'
file_name: 2026_BrainCommunications_Cardenas.pdf
file_size: 33974419
relation: main_file
success: 1
file_date_updated: 2026-03-23T14:27:39Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '03'
oa: 1
oa_version: Published Version
publication: Brain Communications
publication_identifier:
eissn:
- 2632-1297
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Exercise enhances hippocampal-cortical ripple interactions in the human brain
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2026'
...
---
OA_place: repository
OA_type: gold
_id: '18991'
abstract:
- lang: eng
text: Research data for the article "Learning reshapes the hippocampal representation
hierarchy" from Chiossi et al. (PNAS, 2025). The data includes hippocampal CA1
unit activity and behaviour tracking of 5 Long Evans rats during the learning
of an associative memory task. Detailed information can be found in the 'readme.txt'
file.
acknowledged_ssus:
- _id: PreCl
- _id: M-Shop
acknowledgement: Thanks to Rebecca Morse for performing one of the experiments under
H.S.C.C. supervision and Jago Wallenschus for technical support, especially with
maze design.
article_processing_charge: No
author:
- first_name: Heloisa
full_name: Chiossi, Heloisa
id: 2BBA502C-F248-11E8-B48F-1D18A9856A87
last_name: Chiossi
orcid: 0009-0004-2973-278X
citation:
ama: Chiossi HSC. Research data for the publication “Learning reshapes the hippocampal
representation hierarchy.” 2025. doi:10.15479/AT:ISTA:18991
apa: Chiossi, H. S. C. (2025). Research data for the publication “Learning reshapes
the hippocampal representation hierarchy.” Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:18991
chicago: Chiossi, Heloisa S. C. “Research Data for the Publication ‘Learning Reshapes
the Hippocampal Representation Hierarchy.’” Institute of Science and Technology
Austria, 2025. https://doi.org/10.15479/AT:ISTA:18991.
ieee: H. S. C. Chiossi, “Research data for the publication ‘Learning reshapes the
hippocampal representation hierarchy.’” Institute of Science and Technology Austria,
2025.
ista: Chiossi HSC. 2025. Research data for the publication ‘Learning reshapes the
hippocampal representation hierarchy’, Institute of Science and Technology Austria,
10.15479/AT:ISTA:18991.
mla: Chiossi, Heloisa S. C. Research Data for the Publication “Learning Reshapes
the Hippocampal Representation Hierarchy.” Institute of Science and Technology
Austria, 2025, doi:10.15479/AT:ISTA:18991.
short: H.S.C. Chiossi, (2025).
contributor:
- contributor_type: researcher
first_name: Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- contributor_type: supervisor
first_name: Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- contributor_type: supervisor
first_name: Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
corr_author: '1'
date_created: 2025-02-04T10:36:18Z
date_published: 2025-02-04T00:00:00Z
date_updated: 2025-09-30T11:11:51Z
day: '04'
ddc:
- '570'
department:
- _id: GradSch
- _id: JoCs
- _id: GaTk
doi: 10.15479/AT:ISTA:18991
file:
- access_level: open_access
checksum: 04d761ed42e8879abffde04a560409ce
content_type: application/zip
creator: hchiossi
date_created: 2025-02-04T10:16:52Z
date_updated: 2025-02-04T10:16:52Z
file_id: '18992'
file_name: Chiossi_etal_2025_PNAS_data.zip
file_size: 769383201
relation: main_file
success: 1
- access_level: open_access
checksum: 50602931dcd33e4f009ed46af11335f3
content_type: text/plain
creator: hchiossi
date_created: 2025-02-04T10:18:33Z
date_updated: 2025-02-04T10:18:33Z
file_id: '18993'
file_name: readme.txt
file_size: 3215
relation: main_file
success: 1
file_date_updated: 2025-02-04T10:18:33Z
has_accepted_license: '1'
keyword:
- hippocampus
- electrophysiology
- behavior
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '19453'
relation: used_in_publication
status: public
status: public
title: Research data for the publication "Learning reshapes the hippocampal representation
hierarchy"
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '19453'
abstract:
- lang: eng
text: A key feature of biological and artificial neural networks is the progressive
refinement of their neural representations with experience. In neuroscience, this
fact has inspired several recent studies in sensory and motor systems. However,
less is known about how higher associational cortical areas, such as the hippocampus,
modify representations throughout the learning of complex tasks. Here, we focus
on associative learning, a process that requires forming a connection between
the representations of different variables for appropriate behavioral response.
We trained rats in a space-context associative task and monitored hippocampal
neural activity throughout the entire learning period, over several days. This
allowed us to assess changes in the representations of context, movement direction,
and position, as well as their relationship to behavior. We identified a hierarchical
representational structure in the encoding of these three task variables that
was preserved throughout learning. Nevertheless, we also observed changes at the
lower levels of the hierarchy where context was encoded. These changes were local
in neural activity space and restricted to physical positions where context identification
was necessary for correct decision-making, supporting better context decoding
and contextual code compression. Our results demonstrate that the hippocampal
code not only accommodates hierarchical relationships between different variables
but also enables efficient learning through minimal changes in neural activity
space. Beyond the hippocampus, our work reveals a representation learning mechanism
that might be implemented in other biological and artificial networks performing
similar tasks.
acknowledgement: We would like to thank Rebecca Morse for performing the recordings
in one of the animals under the supervision of H.S.C.C., Jago Wallenschus for the
technical support, especially with maze design, Wiktor Mlynarski for the advice
and discussions and Andrea Cumpelik for suggestions during the writing. M.N. was
supported by the Howard Hughes Medical Institute. H.S.C.C. received funding from
the European Union’s Horizon 2020 research and innovation programme under the Marie
Skłodowska-Curie grant agreement No 665385.
article_number: e2417025122
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Heloisa
full_name: Chiossi, Heloisa
id: 2BBA502C-F248-11E8-B48F-1D18A9856A87
last_name: Chiossi
orcid: 0009-0004-2973-278X
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Chiossi HSC, Nardin M, Tkačik G, Csicsvari JL. Learning reshapes the hippocampal
representation hierarchy. Proceedings of the National Academy of Sciences.
2025;122(11). doi:10.1073/pnas.2417025122
apa: Chiossi, H. S. C., Nardin, M., Tkačik, G., & Csicsvari, J. L. (2025). Learning
reshapes the hippocampal representation hierarchy. Proceedings of the National
Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2417025122
chicago: Chiossi, Heloisa S. C., Michele Nardin, Gašper Tkačik, and Jozsef L Csicsvari.
“Learning Reshapes the Hippocampal Representation Hierarchy.” Proceedings of
the National Academy of Sciences. National Academy of Sciences, 2025. https://doi.org/10.1073/pnas.2417025122.
ieee: H. S. C. Chiossi, M. Nardin, G. Tkačik, and J. L. Csicsvari, “Learning reshapes
the hippocampal representation hierarchy,” Proceedings of the National Academy
of Sciences, vol. 122, no. 11. National Academy of Sciences, 2025.
ista: Chiossi HSC, Nardin M, Tkačik G, Csicsvari JL. 2025. Learning reshapes the
hippocampal representation hierarchy. Proceedings of the National Academy of Sciences.
122(11), e2417025122.
mla: Chiossi, Heloisa S. C., et al. “Learning Reshapes the Hippocampal Representation
Hierarchy.” Proceedings of the National Academy of Sciences, vol. 122,
no. 11, e2417025122, National Academy of Sciences, 2025, doi:10.1073/pnas.2417025122.
short: H.S.C. Chiossi, M. Nardin, G. Tkačik, J.L. Csicsvari, Proceedings of the
National Academy of Sciences 122 (2025).
corr_author: '1'
date_created: 2025-03-25T07:38:35Z
date_published: 2025-03-10T00:00:00Z
date_updated: 2025-09-30T11:11:51Z
day: '10'
ddc:
- '570'
department:
- _id: GaTk
- _id: JoCs
doi: 10.1073/pnas.2417025122
ec_funded: 1
external_id:
isi:
- '001459499500001'
pmid:
- '40063792'
file:
- access_level: open_access
checksum: 1217207c254553154faa065964990988
content_type: application/pdf
creator: dernst
date_created: 2025-03-25T07:49:04Z
date_updated: 2025-03-25T07:49:04Z
file_id: '19454'
file_name: 2025_PNAS_Chiossi.pdf
file_size: 1553502
relation: main_file
success: 1
file_date_updated: 2025-03-25T07:49:04Z
has_accepted_license: '1'
intvolume: ' 122'
isi: 1
issue: '11'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/hchiossi/hpc-hierarchy
record:
- id: '18991'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Learning reshapes the hippocampal representation hierarchy
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 122
year: '2025'
...
---
OA_place: publisher
_id: '20777'
acknowledgement: "My work has been funded through the project \"Functional Advantages
of Critical Brain\r\nDynamics\" of the ISTA interdisciplinary fund and through the
FWF.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Predrag
full_name: Zivadinovic, Predrag
id: 68AA0E5A-AFDA-11E9-9994-141DE6697425
last_name: Zivadinovic
citation:
ama: Zivadinovic P. Scale-free activity as a basis for spatial learning and memory
in the brain. 2025. doi:10.15479/AT-ISTA-20777
apa: Zivadinovic, P. (2025). Scale-free activity as a basis for spatial learning
and memory in the brain. Institute of Science and Technology Austria. https://doi.org/10.15479/AT-ISTA-20777
chicago: Zivadinovic, Predrag. “Scale-Free Activity as a Basis for Spatial Learning
and Memory in the Brain.” Institute of Science and Technology Austria, 2025. https://doi.org/10.15479/AT-ISTA-20777.
ieee: P. Zivadinovic, “Scale-free activity as a basis for spatial learning and memory
in the brain,” Institute of Science and Technology Austria, 2025.
ista: Zivadinovic P. 2025. Scale-free activity as a basis for spatial learning and
memory in the brain. Institute of Science and Technology Austria.
mla: Zivadinovic, Predrag. Scale-Free Activity as a Basis for Spatial Learning
and Memory in the Brain. Institute of Science and Technology Austria, 2025,
doi:10.15479/AT-ISTA-20777.
short: P. Zivadinovic, Scale-Free Activity as a Basis for Spatial Learning and Memory
in the Brain, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-12-10T19:37:41Z
date_published: 2025-12-11T00:00:00Z
date_updated: 2026-04-07T12:30:06Z
day: '11'
ddc:
- '570'
- '539'
- '571'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/AT-ISTA-20777
file:
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checksum: aae9d1ed53f7b67f75e289c26a02b72f
content_type: application/pdf
creator: pzivadin
date_created: 2025-12-10T19:28:20Z
date_updated: 2025-12-11T11:15:17Z
embargo: 2026-06-11
embargo_to: open_access
file_id: '20778'
file_name: 2025_Zivadinovic_Predrag_PhD_thesis.pdf
file_size: 8105379
relation: main_file
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checksum: 8a08a3804ce7d9d625fdf1631113da8c
content_type: application/zip
creator: pzivadin
date_created: 2025-12-10T19:28:10Z
date_updated: 2025-12-10T19:28:10Z
file_id: '20779'
file_name: 2025_Zivadinovic_Predrag_PhD_thesis_source.zip
file_size: 8512240
relation: source_file
file_date_updated: 2025-12-11T11:15:17Z
has_accepted_license: '1'
language:
- iso: eng
month: '12'
oa_version: Published Version
page: '104'
project:
- _id: eb943429-77a9-11ec-83b8-9f471cdf5c67
grant_number: M03318
name: Functional Advantages of Critical Brain Dynamics
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
title: Scale-free activity as a basis for spatial learning and memory in the brain
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20664'
abstract:
- lang: eng
text: Conference travel contributes to the climate footprint of academic research.
Here, we provide a quantitative estimate of the carbon emissions associated with
conference attendance by analyzing travel data from participants of 10 international
conferences in the field of magnetic resonance, namely EUROMAR, ENC and ICMRBS.
We find that attending a EUROMAR conference produces, on average, more than 1 t CO2 eq..
For the analyzed conferences outside Europe, the corresponding value is about
2–3 times higher, on average, with intercontinental trips amounting to up to 5 t.
We compare these conference-related emissions to other activities associated with
research and show that conference travel is a substantial portion of the total
climate footprint of a researcher in magnetic resonance. We explore several strategies
to reduce these emissions, including the impact of selecting conference venues
more strategically and the possibility of decentralized conferences. Through a
detailed comparison of train versus air travel – accounting for both direct and
infrastructure-related emissions – we demonstrate that train travel offers considerable
carbon savings. These data may provide a basis for strategic choices of future
conferences in the field and for individuals deciding on their conference attendance.
acknowledgement: 'First and foremost, we are grateful to the conference organizers
who have provided data, either in the form of tables or by pointing us to abstract
books. We thank the reviewers and the handling editor (Gottfried Otting) for the
careful reading and suggestions. This project emerged from an interactive course
about energy and climate, held at IST Austria by Jeroen Dobbelaere, Georgios Katsaros
and Paul Schanda. We are grateful to ISTA''s Graduate School for enabling this interdisciplinary
course and to all participating students. We thank the following persons for discussions
and/or comments about the manuscript: Helene Van Melckebeke, Mei Hong, Jeff Hoch,
Gottfried Otting and Matthias Ernst. For the preparation of the manuscript, AI tools
have been used, namely for finding relevant literature (ChatGPT) and for correcting
the text (Writefull, within Overleaf LaTeX).'
article_processing_charge: Yes
article_type: original
author:
- first_name: Lucky
full_name: Kapoor, Lucky
id: 84b9700b-15b2-11ec-abd3-831089e67615
last_name: Kapoor
orcid: 0000-0001-8319-2148
- first_name: Natalia
full_name: Ruzickova, Natalia
id: D2761128-D73D-11E9-A1BF-BA0DE6697425
last_name: Ruzickova
- first_name: Predrag
full_name: Zivadinovic, Predrag
id: 68AA0E5A-AFDA-11E9-9994-141DE6697425
last_name: Zivadinovic
- first_name: Valentin
full_name: Leitner, Valentin
id: 4c665ce3-0016-11ec-bea0-e44de7a4fa3d
last_name: Leitner
- first_name: Maria A
full_name: Sisak, Maria A
id: 44A03D04-AEA4-11E9-B225-EA2DE6697425
last_name: Sisak
- first_name: Cecelia N
full_name: Mweka, Cecelia N
id: 2a69ab4b-896a-11ed-bdf8-cb8641cf2b21
last_name: Mweka
- first_name: Jeroen A
full_name: Dobbelaere, Jeroen A
id: c15a5412-de82-11ed-b809-8dc1aa996e40
last_name: Dobbelaere
- first_name: Georgios
full_name: Katsaros, Georgios
id: 38DB5788-F248-11E8-B48F-1D18A9856A87
last_name: Katsaros
orcid: 0000-0001-8342-202X
- first_name: Paul
full_name: Schanda, Paul
id: 7B541462-FAF6-11E9-A490-E8DFE5697425
last_name: Schanda
orcid: 0000-0002-9350-7606
citation:
ama: 'Kapoor L, Ruzickova N, Zivadinovic P, et al. Quantifying the carbon footprint
of conference travel: The case of NMR meetings. Magnetic Resonance. 2025;6(2):243-256.
doi:10.5194/mr-6-243-2025'
apa: 'Kapoor, L., Ruzickova, N., Zivadinovic, P., Leitner, V., Sisak, M. A., Mweka,
C. N., … Schanda, P. (2025). Quantifying the carbon footprint of conference travel:
The case of NMR meetings. Magnetic Resonance. Copernicus Publications.
https://doi.org/10.5194/mr-6-243-2025'
chicago: 'Kapoor, Lucky, Natalia Ruzickova, Predrag Zivadinovic, Valentin Leitner,
Maria A Sisak, Cecelia N Mweka, Jeroen A Dobbelaere, Georgios Katsaros, and Paul
Schanda. “Quantifying the Carbon Footprint of Conference Travel: The Case of NMR
Meetings.” Magnetic Resonance. Copernicus Publications, 2025. https://doi.org/10.5194/mr-6-243-2025.'
ieee: 'L. Kapoor et al., “Quantifying the carbon footprint of conference
travel: The case of NMR meetings,” Magnetic Resonance, vol. 6, no. 2. Copernicus
Publications, pp. 243–256, 2025.'
ista: 'Kapoor L, Ruzickova N, Zivadinovic P, Leitner V, Sisak MA, Mweka CN, Dobbelaere
JA, Katsaros G, Schanda P. 2025. Quantifying the carbon footprint of conference
travel: The case of NMR meetings. Magnetic Resonance. 6(2), 243–256.'
mla: 'Kapoor, Lucky, et al. “Quantifying the Carbon Footprint of Conference Travel:
The Case of NMR Meetings.” Magnetic Resonance, vol. 6, no. 2, Copernicus
Publications, 2025, pp. 243–56, doi:10.5194/mr-6-243-2025.'
short: L. Kapoor, N. Ruzickova, P. Zivadinovic, V. Leitner, M.A. Sisak, C.N. Mweka,
J.A. Dobbelaere, G. Katsaros, P. Schanda, Magnetic Resonance 6 (2025) 243–256.
corr_author: '1'
date_created: 2025-11-23T23:01:39Z
date_published: 2025-11-10T00:00:00Z
date_updated: 2026-04-28T13:15:31Z
day: '10'
ddc:
- '000'
department:
- _id: JoFi
- _id: GaTk
- _id: JoCs
- _id: EvBe
- _id: TaHa
- _id: GradSch
- _id: GeKa
- _id: PaSc
doi: 10.5194/mr-6-243-2025
file:
- access_level: open_access
checksum: c63dd47b0e77f9451821436bb77d27c9
content_type: application/pdf
creator: dernst
date_created: 2025-11-24T08:25:19Z
date_updated: 2025-11-24T08:25:19Z
file_id: '20672'
file_name: 2025_MagneticResonance_Kapoor.pdf
file_size: 3081399
relation: main_file
success: 1
file_date_updated: 2025-11-24T08:25:19Z
has_accepted_license: '1'
intvolume: ' 6'
issue: '2'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 243-256
publication: Magnetic Resonance
publication_identifier:
eissn:
- 2699-0016
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: research_data
url: https://ista.ac.at/en/news/carbon-footprint-of-conference-travel/
record:
- id: '20242'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Quantifying the carbon footprint of conference travel: The case of NMR meetings'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 6
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '19506'
abstract:
- lang: eng
text: 'Hippocampal reactivation of waking neuronal assemblies in sleep is a key
initial step of systems consolidation. Nevertheless, it is unclear whether reactivated
assemblies are static or whether they reorganize gradually over prolonged sleep.
We tracked reactivated CA1 assembly patterns over ∼20 h of sleep/rest periods
and related them to assemblies seen before or after in a spatial learning paradigm
using rats. We found that reactivated assembly patterns were gradually transformed
and started to resemble those seen in the subsequent recall session. Periods of
rapid eye movement (REM) sleep and non-REM (NREM) had antagonistic roles: whereas
NREM accelerated the assembly drift, REM countered it. Moreover, only a subset
of rate-changing pyramidal cells contributed to the drift, whereas stable-firing-rate
cells maintained unaltered reactivation patterns. Our data suggest that prolonged
sleep promotes the spontaneous reorganization of spatial assemblies, which can
contribute to daily cognitive map changes or encoding new learning situations.'
acknowledgement: We thank Andrea Cumpelik, Lisa Genzel, and Freya Ólafsdóttir for
comments on an earlier version of the manuscript. This work was supported by the
European Research Council (281511) and Austrian Science Fund (FWF I3713).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Lars
full_name: Bollmann, Lars
id: 47AD3038-F248-11E8-B48F-1D18A9856A87
last_name: Bollmann
- first_name: Peter
full_name: Baracskay, Peter
id: 361CC00E-F248-11E8-B48F-1D18A9856A87
last_name: Baracskay
- first_name: Federico
full_name: Stella, Federico
id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
last_name: Stella
orcid: 0000-0001-9439-3148
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Bollmann L, Baracskay P, Stella F, Csicsvari JL. Sleep stages antagonistically
modulate reactivation drift. Neuron. 2025;113(9):1446-1459.e6. doi:10.1016/j.neuron.2025.02.025
apa: Bollmann, L., Baracskay, P., Stella, F., & Csicsvari, J. L. (2025). Sleep
stages antagonistically modulate reactivation drift. Neuron. Elsevier.
https://doi.org/10.1016/j.neuron.2025.02.025
chicago: Bollmann, Lars, Peter Baracskay, Federico Stella, and Jozsef L Csicsvari.
“Sleep Stages Antagonistically Modulate Reactivation Drift.” Neuron. Elsevier,
2025. https://doi.org/10.1016/j.neuron.2025.02.025.
ieee: L. Bollmann, P. Baracskay, F. Stella, and J. L. Csicsvari, “Sleep stages antagonistically
modulate reactivation drift,” Neuron, vol. 113, no. 9. Elsevier, p. 1446–1459.e6,
2025.
ista: Bollmann L, Baracskay P, Stella F, Csicsvari JL. 2025. Sleep stages antagonistically
modulate reactivation drift. Neuron. 113(9), 1446–1459.e6.
mla: Bollmann, Lars, et al. “Sleep Stages Antagonistically Modulate Reactivation
Drift.” Neuron, vol. 113, no. 9, Elsevier, 2025, p. 1446–1459.e6, doi:10.1016/j.neuron.2025.02.025.
short: L. Bollmann, P. Baracskay, F. Stella, J.L. Csicsvari, Neuron 113 (2025) 1446–1459.e6.
corr_author: '1'
date_created: 2025-04-06T22:01:32Z
date_published: 2025-05-07T00:00:00Z
date_updated: 2026-04-28T13:39:22Z
day: '07'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.neuron.2025.02.025
ec_funded: 1
external_id:
isi:
- '001510440400001'
pmid:
- '40132588'
file:
- access_level: open_access
checksum: 5e57852a45a78a751dd3a5e807bf015f
content_type: application/pdf
creator: dernst
date_created: 2025-08-05T12:43:44Z
date_updated: 2025-08-05T12:43:44Z
file_id: '20133'
file_name: 2025_Neuron_Bollmann.pdf
file_size: 27047730
relation: main_file
success: 1
file_date_updated: 2025-08-05T12:43:44Z
has_accepted_license: '1'
intvolume: ' 113'
isi: 1
issue: '9'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 1446-1459.e6
pmid: 1
project:
- _id: 257A4776-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '281511'
name: Memory-related information processing in neuronal circuits of the hippocampus
and entorhinal cortex
- _id: 2654F984-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I 3713-B27
name: Interneuro plasticity during spatial learning
publication: Neuron
publication_identifier:
eissn:
- 1097-4199
issn:
- 0896-6273
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/how-sleep-keeps-our-memories-fresh/
scopus_import: '1'
status: public
title: Sleep stages antagonistically modulate reactivation drift
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 113
year: '2025'
...
---
OA_embargo: 6 months
OA_place: publisher
_id: '19456'
abstract:
- lang: eng
text: "Making decisions requires flexibly adapting to changing environments, a process
that\r\ndepends on accurately interpreting current contingencies and integrating
them with\r\npast experience. Two brain regions are particularly critical for
this process, the medial\r\nprefrontal cortex (mPFC) and the hippocampus. Using
contextual information from the\r\nhippocampus, the mPFC selects relevant cognitive
frameworks and suppresses\r\nirrelevant ones to guide appropriate actions. Several
studies have shown that some\r\nmPFC pyramidal neurons become spatially tuned
when spatial information is required\r\nto guide goal-directed behavior. However,
the role of prefrontal spatial representations\r\nin learning and decision making
is not well understood. This work aims to characterize\r\nthe role of mPFC spatial
tuning in supporting a contextual association task. Rats were\r\ntrained to learn
two cue–location associations on a radial arm maze over multiple days,\r\nwhile
we simultaneously recorded from dorsal CA1 of the hippocampus and the\r\nprelimbic
area of the mPFC. We describe a subset of spatially tuned hippocampal and\r\nprefrontal
pyramidal neurons that “flicker” between multiple spatial representations on\r\ndifferent
trials, suggesting dynamic, context-dependent coding. This flickering may\r\nprovide
a substrate for how the network reorganizes in response to task demands,\r\nlikely
by enabling the flexible evaluation of competing representations. "
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: LifeSc
- _id: M-Shop
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Andrea D
full_name: Cumpelik, Andrea D
id: 3F158B32-F248-11E8-B48F-1D18A9856A87
last_name: Cumpelik
orcid: 0000-0003-1727-6612
citation:
ama: Cumpelik AD. The role of prefrontal spatial coding in supporting a contextual
association task. 2025. doi:10.15479/AT-ISTA-19456
apa: Cumpelik, A. D. (2025). The role of prefrontal spatial coding in supporting
a contextual association task. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT-ISTA-19456
chicago: Cumpelik, Andrea D. “The Role of Prefrontal Spatial Coding in Supporting
a Contextual Association Task.” Institute of Science and Technology Austria, 2025.
https://doi.org/10.15479/AT-ISTA-19456.
ieee: A. D. Cumpelik, “The role of prefrontal spatial coding in supporting a contextual
association task,” Institute of Science and Technology Austria, 2025.
ista: Cumpelik AD. 2025. The role of prefrontal spatial coding in supporting a contextual
association task. Institute of Science and Technology Austria.
mla: Cumpelik, Andrea D. The Role of Prefrontal Spatial Coding in Supporting
a Contextual Association Task. Institute of Science and Technology Austria,
2025, doi:10.15479/AT-ISTA-19456.
short: A.D. Cumpelik, The Role of Prefrontal Spatial Coding in Supporting a Contextual
Association Task, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-03-25T11:22:38Z
date_published: 2025-02-18T00:00:00Z
date_updated: 2026-04-07T12:37:58Z
day: '18'
ddc:
- '612'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/AT-ISTA-19456
file:
- access_level: open_access
checksum: 1c7573303d8e5f6da3eb03d59055390f
content_type: application/pdf
creator: acumpeli
date_created: 2025-03-25T11:07:55Z
date_updated: 2025-09-30T22:30:02Z
embargo: 2025-09-30
file_id: '19457'
file_name: 2025_Thesis_Cumpelik_corrections_PDFA.pdf
file_size: 11869040
relation: main_file
- access_level: closed
checksum: b93265ebd9a53f7a14100d0d48b4ff5b
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: acumpeli
date_created: 2025-03-25T11:08:05Z
date_updated: 2025-09-30T22:30:02Z
embargo_to: open_access
file_id: '19458'
file_name: 2025_Thesis_Cumpelik_corrections.docx
file_size: 20436467
relation: source_file
file_date_updated: 2025-09-30T22:30:02Z
has_accepted_license: '1'
keyword:
- neuroscience
- decision making
- learning
- cognitive flexibility
- medial prefrontal cortex
- hippocampus
- electrophysiology
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '96'
publication_identifier:
isbn:
- 978-3-99078-056-5
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
title: The role of prefrontal spatial coding in supporting a contextual association
task
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '15381'
abstract:
- lang: eng
text: 'Cholecystokinin-expressing interneurons (CCKIs) are hypothesized to shape
pyramidal cell-firing patterns and regulate network oscillations and related network
state transitions. To directly probe their role in the CA1 region, we silenced
their activity using optogenetic and chemogenetic tools in mice. Opto-tagged CCKIs
revealed a heterogeneous population, and their optogenetic silencing triggered
wide disinhibitory network changes affecting both pyramidal cells and other interneurons.
CCKI silencing enhanced pyramidal cell burst firing and altered the temporal coding
of place cells: theta phase precession was disrupted, whereas sequence reactivation
was enhanced. Chemogenetic CCKI silencing did not alter the acquisition of spatial
reference memories on the Morris water maze but enhanced the recall of contextual
fear memories and enabled selective recall when similar environments were tested.
This work suggests the key involvement of CCKIs in the control of place-cell temporal
coding and the formation of contextual memories.'
acknowledged_ssus:
- _id: M-Shop
- _id: Bio
- _id: LifeSc
- _id: PreCl
acknowledgement: We thank the kind donations from Andrea Varro, Brian Sauer, Edward
Boyden, and Peter Jonas. We thank Jago Wallenschus, Kerstin Kronenbitter, and Didier
Gremelle for outstanding technical support; Laura Bollepalli for initial viral targeting
experiments; Cihan Önal for initial electrophysiology experiments; Yoav Ben-Simon
for histological advice; and Anton Nikitenko for contributing to the analysis. We
acknowledge support from the Miba Machine Shop, Bioimaging-, Life Science- and Pre-Clinical
Facilities at ISTA. This work was supported by the Austrian Science Fund (FWF I3713
to J.C. as part of the FOR 2143 research consortium), the Deutsche Forschungsgemeinschaft
(DFG) (WU 503/2-2 to P.W.), and the Medical Research Council, United Kingdom (grant
G1100546/2 to P.W.).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Dámaris K
full_name: Rangel Guerrero, Dámaris K
id: 4871BCE6-F248-11E8-B48F-1D18A9856A87
last_name: Rangel Guerrero
orcid: 0000-0002-8602-4374
- first_name: Kira
full_name: Balueva, Kira
last_name: Balueva
- first_name: Uladzislau
full_name: Barayeu, Uladzislau
id: b515be12-ec90-11ea-b966-d0b5e15613d2
last_name: Barayeu
- first_name: Peter
full_name: Baracskay, Peter
id: 361CC00E-F248-11E8-B48F-1D18A9856A87
last_name: Baracskay
- first_name: Igor
full_name: Gridchyn, Igor
id: 4B60654C-F248-11E8-B48F-1D18A9856A87
last_name: Gridchyn
orcid: 0000-0002-1807-1929
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Chiara N
full_name: Roth, Chiara N
id: 37BB4FB6-F248-11E8-B48F-1D18A9856A87
last_name: Roth
- first_name: Peer
full_name: Wulff, Peer
last_name: Wulff
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Rangel Guerrero DK, Balueva K, Barayeu U, et al. Hippocampal cholecystokinin-expressing
interneurons regulate temporal coding and contextual learning. Neuron.
2024;112(12):2045-2061.e10. doi:10.1016/j.neuron.2024.03.019
apa: Rangel Guerrero, D. K., Balueva, K., Barayeu, U., Baracskay, P., Gridchyn,
I., Nardin, M., … Csicsvari, J. L. (2024). Hippocampal cholecystokinin-expressing
interneurons regulate temporal coding and contextual learning. Neuron.
Cell Press. https://doi.org/10.1016/j.neuron.2024.03.019
chicago: Rangel Guerrero, Dámaris K, Kira Balueva, Uladzislau Barayeu, Peter Baracskay,
Igor Gridchyn, Michele Nardin, Chiara N Roth, Peer Wulff, and Jozsef L Csicsvari.
“Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding
and Contextual Learning.” Neuron. Cell Press, 2024. https://doi.org/10.1016/j.neuron.2024.03.019.
ieee: D. K. Rangel Guerrero et al., “Hippocampal cholecystokinin-expressing
interneurons regulate temporal coding and contextual learning,” Neuron,
vol. 112, no. 12. Cell Press, p. 2045–2061.e10, 2024.
ista: Rangel Guerrero DK, Balueva K, Barayeu U, Baracskay P, Gridchyn I, Nardin
M, Roth CN, Wulff P, Csicsvari JL. 2024. Hippocampal cholecystokinin-expressing
interneurons regulate temporal coding and contextual learning. Neuron. 112(12),
2045–2061.e10.
mla: Rangel Guerrero, Dámaris K., et al. “Hippocampal Cholecystokinin-Expressing
Interneurons Regulate Temporal Coding and Contextual Learning.” Neuron,
vol. 112, no. 12, Cell Press, 2024, p. 2045–2061.e10, doi:10.1016/j.neuron.2024.03.019.
short: D.K. Rangel Guerrero, K. Balueva, U. Barayeu, P. Baracskay, I. Gridchyn,
M. Nardin, C.N. Roth, P. Wulff, J.L. Csicsvari, Neuron 112 (2024) 2045–2061.e10.
corr_author: '1'
date_created: 2024-05-12T22:01:03Z
date_published: 2024-06-19T00:00:00Z
date_updated: 2025-09-08T07:26:42Z
day: '19'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.neuron.2024.03.019
external_id:
isi:
- '001300571400001'
pmid:
- '38636524'
file:
- access_level: open_access
checksum: de5b18ff293d42bd90e83a193e889844
content_type: application/pdf
creator: dernst
date_created: 2025-01-09T09:15:31Z
date_updated: 2025-01-09T09:15:31Z
file_id: '18798'
file_name: 2024_Neuron_RangelGuerrero.pdf
file_size: 9149079
relation: main_file
success: 1
file_date_updated: 2025-01-09T09:15:31Z
has_accepted_license: '1'
intvolume: ' 112'
isi: 1
issue: '12'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 2045-2061.e10
pmid: 1
project:
- _id: 2654F984-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I 3713-B27
name: Interneuro plasticity during spatial learning
publication: Neuron
publication_identifier:
eissn:
- 1097-4199
issn:
- 0896-6273
publication_status: published
publisher: Cell Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Hippocampal cholecystokinin-expressing interneurons regulate temporal coding
and contextual learning
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 112
year: '2024'
...
---
_id: '17089'
abstract:
- lang: eng
text: How the coordination of neuronal spiking and brain rhythms between hippocampal
subregions supports memory function remains elusive. We studied the interregional
coordination of CA3 neuronal spiking with CA1 theta oscillations by recording
electrophysiological signals along the proximodistal axis of the hippocampus in
rats that were performing a high-memory-demand recognition memory task adapted
from humans. We found that CA3 population spiking occurs preferentially at the
peak of distal CA1 theta oscillations when memory was tested but only when previously
encountered stimuli were presented. In addition, decoding analyses revealed that
only population cell firing of proximal CA3 together with that of distal CA1 can
predict performance at test in the present non-spatial task. Overall, our work
demonstrates an important role for the synchronization of CA3 neuronal activity
with CA1 theta oscillations during memory testing.
acknowledgement: We would like to thank J. Maiwald for her assistance in animal behavior
training, experiments, and brain slice preparation; D. Koch for her assistance in
recording drive building and brain slicing; K. Kaefer and J. Wallenschus (IST Austria)
for their initial technical support; S. Mikulovich for her comments on an early
version of the manuscript; C. Reichert for his comments on SVM analyses; and J.
Pakan for English proofreading. This project is funded by the DFG (CRC 779 and CRC
1436).
article_number: '114276'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Shih Pi
full_name: Ku, Shih Pi
last_name: Ku
- first_name: Erika
full_name: Atucha, Erika
last_name: Atucha
- first_name: Nico
full_name: Alavi, Nico
last_name: Alavi
- first_name: Halla
full_name: Mulla-Osman, Halla
last_name: Mulla-Osman
- first_name: Rukhshona
full_name: Kayumova, Rukhshona
last_name: Kayumova
- first_name: Motoharu
full_name: Yoshida, Motoharu
last_name: Yoshida
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
- first_name: Magdalena M.
full_name: Sauvage, Magdalena M.
last_name: Sauvage
citation:
ama: Ku SP, Atucha E, Alavi N, et al. Phase locking of hippocampal CA3 neurons to
distal CA1 theta oscillations selectively predicts memory performance. Cell
Reports. 2024;43(6). doi:10.1016/j.celrep.2024.114276
apa: Ku, S. P., Atucha, E., Alavi, N., Mulla-Osman, H., Kayumova, R., Yoshida, M.,
… Sauvage, M. M. (2024). Phase locking of hippocampal CA3 neurons to distal CA1
theta oscillations selectively predicts memory performance. Cell Reports.
Elsevier. https://doi.org/10.1016/j.celrep.2024.114276
chicago: Ku, Shih Pi, Erika Atucha, Nico Alavi, Halla Mulla-Osman, Rukhshona Kayumova,
Motoharu Yoshida, Jozsef L Csicsvari, and Magdalena M. Sauvage. “Phase Locking
of Hippocampal CA3 Neurons to Distal CA1 Theta Oscillations Selectively Predicts
Memory Performance.” Cell Reports. Elsevier, 2024. https://doi.org/10.1016/j.celrep.2024.114276.
ieee: S. P. Ku et al., “Phase locking of hippocampal CA3 neurons to distal
CA1 theta oscillations selectively predicts memory performance,” Cell Reports,
vol. 43, no. 6. Elsevier, 2024.
ista: Ku SP, Atucha E, Alavi N, Mulla-Osman H, Kayumova R, Yoshida M, Csicsvari
JL, Sauvage MM. 2024. Phase locking of hippocampal CA3 neurons to distal CA1 theta
oscillations selectively predicts memory performance. Cell Reports. 43(6), 114276.
mla: Ku, Shih Pi, et al. “Phase Locking of Hippocampal CA3 Neurons to Distal CA1
Theta Oscillations Selectively Predicts Memory Performance.” Cell Reports,
vol. 43, no. 6, 114276, Elsevier, 2024, doi:10.1016/j.celrep.2024.114276.
short: S.P. Ku, E. Atucha, N. Alavi, H. Mulla-Osman, R. Kayumova, M. Yoshida, J.L.
Csicsvari, M.M. Sauvage, Cell Reports 43 (2024).
date_created: 2024-06-02T22:00:56Z
date_published: 2024-06-25T00:00:00Z
date_updated: 2025-09-08T07:42:25Z
day: '25'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.celrep.2024.114276
external_id:
isi:
- '001252792600001'
file:
- access_level: open_access
checksum: 9b43f8ca5e5a12ae96e3fb9df06385c1
content_type: application/pdf
creator: dernst
date_created: 2024-06-03T07:12:45Z
date_updated: 2024-06-03T07:12:45Z
file_id: '17096'
file_name: 2024_CellReports_Ku.pdf
file_size: 4371015
relation: main_file
success: 1
file_date_updated: 2024-06-03T07:12:45Z
has_accepted_license: '1'
intvolume: ' 43'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: Cell Reports
publication_identifier:
eissn:
- 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively
predicts memory performance
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 43
year: '2024'
...
---
OA_place: publisher
_id: '17346'
abstract:
- lang: eng
text: "Acquiring, retaining, and retrieving information over a wide range of timescales
are crucial\r\nfunctions of the brain. The successful processing of memories affects
many aspects of our\r\nlives and enables us and many other organisms to operate
in a complex environment and\r\nto interact with it. In this context, the hippocampus
and functionally connected brain\r\nareas, such as the prefrontal cortex, are
central and have been subject to intensive research\r\nin the past decades. Storage
of memories is believed to rely on distributed neural activity\r\nwithin these
neural circuits. Additionally, neural memory traces of recent experience are\r\nreinstated
during periods of rest or sleep. These reactivations are thought to play an\r\noutstanding
role in the consolidation of memories and potentially facilitate the transfer
of\r\ninformation from the hippocampus to cortical areas for long-term storage
and integration\r\ninto existing knowledge.\r\nHowever, there is growing evidence
that memory-related neural representations in the\r\nhippocampus are not as stable
as initially thought and that they change even in the\r\nabsence of learning.
It has been suggested that these changes reflect the accumulation of\r\nexperience,
but the influence of interspersed consolidation periods has not been considered.\r\nPrevious
studies have analyzed consolidation periods by detecting activity that strongly\r\nresembled
neural activity during the acquisition of memory. Besides being often limited\r\nto
only non-rapid eye movement (NREM) sleep, the used approaches were not capable
of\r\ntracking changes in neural representations over extended temporal periods.
More fluid\r\nrepresentations do not only challenge our understanding of how information
is stored, but\r\nthey also affect the transfer of information between brain areas
during the consolidation\r\nprocess.\r\nFor this thesis, I investigated the evolution
of memory-related activity during sleep\r\nperiods expected to be involved in
consolidation in the hippocampus and between the\r\nhippocampus and prefrontal
cortex. I found that reactivated activity in the hippocampus\r\ngradually transformed
during prolonged periods of sleep and inactivity. In the beginning,\r\nneural
activity strongly resembled acquisition activity, whereas, with the progression
of\r\ntime, it became more similar to the subsequent recall activity. NREM periods
drove\r\nthis process, while rapid-eye movement (REM) periods showed a resetting
effect. This\r\nreactivation drift was due to firing rate changes of a subset
of cells and mirrored the\r\nrepresentational changes from the acquisition to
the recall. A stable subset of cells\r\nwithstood the drift and maintained their
activity. Therefore, my results indicate that\r\nmemory-related representations
undergo spontaneous modifications during consolidation\r\nperiods and that these
changes are predictive of representational drift.\r\nFurthermore, I found that
the amount of change in the neural activity during subsequent\r\nsleep periods
was biased by prior behavioral performance. Observed changes in the\r\nhippocampus
and the prefrontal cortex were synchronized and increased after poor\r\nperformance,
highlighting a potential role in the exchange of information. Low-variance\r\nvii\r\nperiods
with distinct, more stable activity from a subset of cells significantly contributed\r\nto
the heightened synchrony between both areas. Hence, interleaved phases of more
stable\r\nneural activity could facilitate the information transfer between brain
areas.\r\nIn conclusion, my investigations underline the fluidity of memory-related
representations\r\nand assign a prominent role to sleep reactivation periods in
their evolution. In addition, I\r\nidentified a potential mechanism of stable
activity phases that might facilitate the synchronization across hippocampal-prefrontal
activity despite ongoing changes. Reconciling\r\nand integrating findings from
both spontaneous and behaviorally-related representational\r\nchanges in functionally
related brain areas will help to broaden our understanding of how\r\nknowledge
is stored, maintained, updated, and transferred between brain areas."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lars
full_name: Bollmann, Lars
id: 47AD3038-F248-11E8-B48F-1D18A9856A87
last_name: Bollmann
citation:
ama: Bollmann L. Stability and change in the memory system during rest. 2024. doi:10.15479/at:ista:17346
apa: Bollmann, L. (2024). Stability and change in the memory system during rest.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:17346
chicago: Bollmann, Lars. “Stability and Change in the Memory System during Rest.”
Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17346.
ieee: L. Bollmann, “Stability and change in the memory system during rest,” Institute
of Science and Technology Austria, 2024.
ista: Bollmann L. 2024. Stability and change in the memory system during rest. Institute
of Science and Technology Austria.
mla: Bollmann, Lars. Stability and Change in the Memory System during Rest.
Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17346.
short: L. Bollmann, Stability and Change in the Memory System during Rest, Institute
of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-07-29T15:08:42Z
date_published: 2024-07-31T00:00:00Z
date_updated: 2026-04-07T13:21:20Z
day: '31'
ddc:
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/at:ista:17346
file:
- access_level: open_access
checksum: 12c76297cc27449da80c60d79127770d
content_type: application/pdf
creator: lbollman
date_created: 2024-07-31T18:37:19Z
date_updated: 2025-01-31T23:30:03Z
embargo: 2025-01-31
file_id: '17359'
file_name: PhD_Thesis_Lars_Bollmann.pdf
file_size: 12920169
relation: main_file
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checksum: 19a0265079dec8038830ad6e35c5106e
content_type: application/zip
creator: lbollman
date_created: 2024-07-31T18:38:39Z
date_updated: 2025-01-31T23:30:03Z
embargo_to: open_access
file_id: '17360'
file_name: Latex_source.zip
file_size: 27568807
relation: source_file
file_date_updated: 2025-01-31T23:30:03Z
has_accepted_license: '1'
keyword:
- Memory
- Hippocampus
- Consolidation
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: '103'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
title: Stability and change in the memory system during rest
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
OA_place: publisher
_id: '14821'
abstract:
- lang: eng
text: "The hippocampus is central to memory formation, storage and retrieval over
many\r\ntimescales. Neurons in this brain area are highly selective to spatial
position as well as to many\r\nother variables of the environment. It is believed
that the selectivity patterns of hippocampal\r\nneurons reflect the structure
of tasks an animal performs. However, especially at timescales\r\nlonger than
a few minutes or hours it is not fully known how these representations evolve,
nor\r\nhow they map to behaviour in the process. In this thesis, I monitored the
evolution of\r\nhippocampal representations in a novel spatial-associative memory
task for rats. Reward\r\nlocations were associated with global sensory cues (i.e.
context); animals had to remember the\r\nassociations and dig for food in those
locations only. I used in vivo electrophysiology to record\r\nthe activity of
the hippocampus dorsal CA1 neurons during the learning period of a few days.\r\nI
report here a novel and simple method to classify behaviour performance to account\r\nfor
individual variability in learning speed and spurious performance unrelated to
true task rule\r\nlearning. Using this classification I was then able to investigate
neural responses on different\r\nstages of learning matched across animals. On
the first day of learning, I observed a fast\r\nformation of single-cell selectivity
to task variables which remained stable over days. I also\r\nobserved that reward
tuning was not a single process but dependent on task-related cognitive\r\nload.
At the population level, a linear decoding approach revealed a hierarchy in the\r\nrepresentation
of task variables that changed with learning. In the high-dimensional space of\r\npopulation
activity, the representation of contexts was specific to each position in the
maze, and\r\ncould thus be better decoded if the position was known. The decoding
of position did not improve\r\nwith knowledge of other variables. As learning
progressed, the hippocampal code underwent a\r\nreorganisation of high-variance
directions in population activity, identified by principal\r\ncomponent analysis.
I found that dominant dimensions started carrying increasing amounts of\r\ninformation
about task context specifically at those positions where it mattered for task\r\nperformance.
When I contrasted this with variables less relevant to task performance (e.g.\r\nmovement
direction), I did not observe differences in decoding quality over positions nor
a\r\nreduction of dimensionality with learning.\r\nOverall, the largest changes
in CA1 neural response with task learning happened in a\r\nmatter of a few trials;
over days, changes undetectable in single-cell statistics were responsible\r\nfor
re-structuring the hierarchy of neural representations at the population level;
these changes\r\nwere task-specific and reflected different stages of learning.
This indicates that complex task\r\nlearning may involve different magnitudes
of response modulation in CA1, which happen at\r\nspecific time scales linked
to behaviour."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Heloisa
full_name: Chiossi, Heloisa
id: 2BBA502C-F248-11E8-B48F-1D18A9856A87
last_name: Chiossi
orcid: 0009-0004-2973-278X
citation:
ama: Chiossi HSC. Adaptive hierarchical representations in the hippocampus. 2024.
doi:10.15479/at:ista:14821
apa: Chiossi, H. S. C. (2024). Adaptive hierarchical representations in the hippocampus.
Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14821
chicago: Chiossi, Heloisa S. C. “Adaptive Hierarchical Representations in the Hippocampus.”
Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:14821.
ieee: H. S. C. Chiossi, “Adaptive hierarchical representations in the hippocampus,”
Institute of Science and Technology Austria, 2024.
ista: Chiossi HSC. 2024. Adaptive hierarchical representations in the hippocampus.
Institute of Science and Technology Austria.
mla: Chiossi, Heloisa S. C. Adaptive Hierarchical Representations in the Hippocampus.
Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:14821.
short: H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus,
Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-01-16T14:25:21Z
date_published: 2024-01-19T00:00:00Z
date_updated: 2026-04-07T13:21:56Z
day: '19'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/at:ista:14821
ec_funded: 1
file:
- access_level: closed
checksum: d3fa3de1abd5af5204c13e9d55375615
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: hchiossi
date_created: 2024-01-19T11:04:05Z
date_updated: 2025-01-19T23:30:04Z
embargo_to: open_access
file_id: '14838'
file_name: PhD_Thesis_190124.docx
file_size: 8656268
relation: source_file
- access_level: open_access
checksum: 13adc8dcfb5b6b18107f89f0a98fa8bd
content_type: application/pdf
creator: hchiossi
date_created: 2024-01-19T11:03:59Z
date_updated: 2025-01-19T23:30:04Z
embargo: 2025-01-19
file_id: '14839'
file_name: PhD_Thesis_190124.pdf
file_size: 6567275
relation: main_file
file_date_updated: 2025-01-19T23:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: '89'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
title: Adaptive hierarchical representations in the hippocampus
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2024'
...
---
_id: '14314'
abstract:
- lang: eng
text: The execution of cognitive functions requires coordinated circuit activity
across different brain areas that involves the associated firing of neuronal assemblies.
Here, we tested the circuit mechanism behind assembly interactions between the
hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording
neuronal populations during a rule-switching task. We identified functionally
coupled CA1-mPFC cells that synchronized their activity beyond that expected from
common spatial coding or oscillatory firing. When such cell pairs fired together,
the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent
theta firing phases, independent of the theta timing of their CA1 counterpart.
These functionally connected CA1-mPFC cells formed interconnected assemblies.
While firing together with their CA1 assembly partners, mPFC cells fired along
specific theta sequences. Our results suggest that upregulated theta oscillatory
firing of mPFC cells can signal transient interactions with specific CA1 assemblies,
thus enabling distributed computations.
acknowledgement: We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on
an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS
(grant 607616).
article_number: '113015'
article_processing_charge: Yes
article_type: original
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Karola
full_name: Käfer, Karola
id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
last_name: Käfer
- first_name: Federico
full_name: Stella, Federico
id: 39AF1E74-F248-11E8-B48F-1D18A9856A87
last_name: Stella
orcid: 0000-0001-9439-3148
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate
for medial prefrontal-hippocampal assembly interactions. Cell Reports.
2023;42(9). doi:10.1016/j.celrep.2023.113015
apa: Nardin, M., Käfer, K., Stella, F., & Csicsvari, J. L. (2023). Theta oscillations
as a substrate for medial prefrontal-hippocampal assembly interactions. Cell
Reports. Elsevier. https://doi.org/10.1016/j.celrep.2023.113015
chicago: Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari.
“Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly
Interactions.” Cell Reports. Elsevier, 2023. https://doi.org/10.1016/j.celrep.2023.113015.
ieee: M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as
a substrate for medial prefrontal-hippocampal assembly interactions,” Cell
Reports, vol. 42, no. 9. Elsevier, 2023.
ista: Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate
for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9),
113015.
mla: Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal
Assembly Interactions.” Cell Reports, vol. 42, no. 9, 113015, Elsevier,
2023, doi:10.1016/j.celrep.2023.113015.
short: M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).
corr_author: '1'
date_created: 2023-09-10T22:01:11Z
date_published: 2023-09-26T00:00:00Z
date_updated: 2025-09-09T12:53:32Z
day: '26'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1016/j.celrep.2023.113015
ec_funded: 1
external_id:
isi:
- '001068779200001'
pmid:
- '37632747'
file:
- access_level: open_access
checksum: ca77a304fb813c292550b8604b0fb41d
content_type: application/pdf
creator: dernst
date_created: 2023-09-15T07:12:46Z
date_updated: 2023-09-15T07:12:46Z
file_id: '14337'
file_name: 2023_CellPress_Nardin.pdf
file_size: 4879455
relation: main_file
success: 1
file_date_updated: 2023-09-15T07:12:46Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '607616'
name: inter-and intracellular signalling in schizophrenia
publication: Cell Reports
publication_identifier:
eissn:
- 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Theta oscillations as a substrate for medial prefrontal-hippocampal assembly
interactions
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 42
year: '2023'
...
---
_id: '12862'
abstract:
- lang: eng
text: Despite the considerable progress of in vivo neural recording techniques,
inferring the biophysical mechanisms underlying large scale coordination of brain
activity from neural data remains challenging. One obstacle is the difficulty
to link high dimensional functional connectivity measures to mechanistic models
of network activity. We address this issue by investigating spike-field coupling
(SFC) measurements, which quantify the synchronization between, on the one hand,
the action potentials produced by neurons, and on the other hand mesoscopic “field”
signals, reflecting subthreshold activities at possibly multiple recording sites.
As the number of recording sites gets large, the amount of pairwise SFC measurements
becomes overwhelmingly challenging to interpret. We develop Generalized Phase
Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate
SFC. GPLA describes the dominant coupling between field activity and neural ensembles
across space and frequencies. We show that GPLA features are biophysically interpretable
when used in conjunction with appropriate network models, such that we can identify
the influence of underlying circuit properties on these features. We demonstrate
the statistical benefits and interpretability of this approach in various computational
models and Utah array recordings. The results suggest that GPLA, used jointly
with biophysical modeling, can help uncover the contribution of recurrent microcircuits
to the spatio-temporal dynamics observed in multi-channel experimental recordings.
acknowledgement: "We thank Britni Crocker for help with preprocessing of the data
and spike sorting; Joachim Werner and Michael Schnabel for their excellent IT support;
Andreas Tolias for help with the initial implantation’s of the Utah arrays.\r\nAll
authors were supported by the Max Planck Society. M.B. was supported by the German\r\nFederal
Ministry of Education and Research (BMBF) through the funding scheme received by\r\nthe
Tübingen AI Center, FKZ: 01IS18039B. N.K.L. and V.K. acknowledge the support from
the\r\nShanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02).
The funders had no role in study design, data collection and analysis, decision
to publish, or preparation of the manuscript. "
article_number: e1010983
article_processing_charge: No
article_type: original
author:
- first_name: Shervin
full_name: Safavi, Shervin
last_name: Safavi
- first_name: Theofanis I.
full_name: Panagiotaropoulos, Theofanis I.
last_name: Panagiotaropoulos
- first_name: Vishal
full_name: Kapoor, Vishal
last_name: Kapoor
- first_name: Juan F
full_name: Ramirez Villegas, Juan F
id: 44B06F76-F248-11E8-B48F-1D18A9856A87
last_name: Ramirez Villegas
- first_name: Nikos K.
full_name: Logothetis, Nikos K.
last_name: Logothetis
- first_name: Michel
full_name: Besserve, Michel
last_name: Besserve
citation:
ama: Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK,
Besserve M. Uncovering the organization of neural circuits with Generalized Phase
Locking Analysis. PLoS Computational Biology. 2023;19(4). doi:10.1371/journal.pcbi.1010983
apa: Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez Villegas, J. F.,
Logothetis, N. K., & Besserve, M. (2023). Uncovering the organization of neural
circuits with Generalized Phase Locking Analysis. PLoS Computational Biology.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1010983
chicago: Safavi, Shervin, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F
Ramirez Villegas, Nikos K. Logothetis, and Michel Besserve. “Uncovering the Organization
of Neural Circuits with Generalized Phase Locking Analysis.” PLoS Computational
Biology. Public Library of Science, 2023. https://doi.org/10.1371/journal.pcbi.1010983.
ieee: S. Safavi, T. I. Panagiotaropoulos, V. Kapoor, J. F. Ramirez Villegas, N.
K. Logothetis, and M. Besserve, “Uncovering the organization of neural circuits
with Generalized Phase Locking Analysis,” PLoS Computational Biology, vol.
19, no. 4. Public Library of Science, 2023.
ista: Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis
NK, Besserve M. 2023. Uncovering the organization of neural circuits with Generalized
Phase Locking Analysis. PLoS Computational Biology. 19(4), e1010983.
mla: Safavi, Shervin, et al. “Uncovering the Organization of Neural Circuits with
Generalized Phase Locking Analysis.” PLoS Computational Biology, vol. 19,
no. 4, e1010983, Public Library of Science, 2023, doi:10.1371/journal.pcbi.1010983.
short: S. Safavi, T.I. Panagiotaropoulos, V. Kapoor, J.F. Ramirez Villegas, N.K.
Logothetis, M. Besserve, PLoS Computational Biology 19 (2023).
date_created: 2023-04-23T22:01:03Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2025-04-23T08:54:49Z
day: '01'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.1371/journal.pcbi.1010983
external_id:
isi:
- '000962668700002'
pmid:
- '37011110'
file:
- access_level: open_access
checksum: edeb9d09f3e41ba7c0251308b9e372e7
content_type: application/pdf
creator: dernst
date_created: 2023-04-25T08:59:18Z
date_updated: 2023-04-25T08:59:18Z
file_id: '12867'
file_name: 2023_PLoSCompBio_Safavi.pdf
file_size: 4737671
relation: main_file
success: 1
file_date_updated: 2023-04-25T08:59:18Z
has_accepted_license: '1'
intvolume: ' 19'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/shervinsafavi/gpla.git
scopus_import: '1'
status: public
title: Uncovering the organization of neural circuits with Generalized Phase Locking
Analysis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2023'
...
---
_id: '14656'
abstract:
- lang: eng
text: Although much is known about how single neurons in the hippocampus represent
an animal's position, how circuit interactions contribute to spatial coding is
less well understood. Using a novel statistical estimator and theoretical modeling,
both developed in the framework of maximum entropy models, we reveal highly structured
CA1 cell-cell interactions in male rats during open field exploration. The statistics
of these interactions depend on whether the animal is in a familiar or novel environment.
In both conditions the circuit interactions optimize the encoding of spatial information,
but for regimes that differ in the informativeness of their spatial inputs. This
structure facilitates linear decodability, making the information easy to read
out by downstream circuits. Overall, our findings suggest that the efficient coding
hypothesis is not only applicable to individual neuron properties in the sensory
periphery, but also to neural interactions in the central brain.
acknowledgement: M.N. was supported by the European Union Horizon 2020 Grant 665385.
J.C. was supported by the European Research Council Consolidator Grant 281511. G.T.
was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported
by an Institute of Science and Technology fellow award and by the National Science
Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and
Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella,
Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi,
Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
- first_name: Cristina
full_name: Savin, Cristina
id: 3933349E-F248-11E8-B48F-1D18A9856A87
last_name: Savin
citation:
ama: Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1
interactions optimizes spatial coding across experience. The Journal of Neuroscience.
2023;43(48):8140-8156. doi:10.1523/JNEUROSCI.0194-23.2023
apa: Nardin, M., Csicsvari, J. L., Tkačik, G., & Savin, C. (2023). The structure
of hippocampal CA1 interactions optimizes spatial coding across experience. The
Journal of Neuroscience. Society for Neuroscience. https://doi.org/10.1523/JNEUROSCI.0194-23.2023
chicago: Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin.
“The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across
Experience.” The Journal of Neuroscience. Society for Neuroscience, 2023.
https://doi.org/10.1523/JNEUROSCI.0194-23.2023.
ieee: M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal
CA1 interactions optimizes spatial coding across experience,” The Journal of
Neuroscience, vol. 43, no. 48. Society for Neuroscience, pp. 8140–8156, 2023.
ista: Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal
CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience.
43(48), 8140–8156.
mla: Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes
Spatial Coding across Experience.” The Journal of Neuroscience, vol. 43,
no. 48, Society for Neuroscience, 2023, pp. 8140–56, doi:10.1523/JNEUROSCI.0194-23.2023.
short: M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience
43 (2023) 8140–8156.
date_created: 2023-12-10T23:00:58Z
date_published: 2023-11-29T00:00:00Z
date_updated: 2025-09-09T13:37:51Z
day: '29'
ddc:
- '570'
department:
- _id: JoCs
- _id: GaTk
doi: 10.1523/JNEUROSCI.0194-23.2023
ec_funded: 1
external_id:
isi:
- '001148071000005'
pmid:
- '37758476'
file:
- access_level: open_access
checksum: e2503c8f84be1050e28f64320f1d5bd2
content_type: application/pdf
creator: dernst
date_created: 2023-12-11T11:30:37Z
date_updated: 2024-06-02T22:30:03Z
embargo: 2024-06-01
file_id: '14674'
file_name: 2023_JourNeuroscience_Nardin.pdf
file_size: 2280632
relation: main_file
file_date_updated: 2024-06-02T22:30:03Z
has_accepted_license: '1'
intvolume: ' 43'
isi: 1
issue: '48'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
page: 8140-8156
pmid: 1
project:
- _id: 257A4776-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '281511'
name: Memory-related information processing in neuronal circuits of the hippocampus
and entorhinal cortex
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
grant_number: P34015
name: Efficient coding with biophysical realism
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: The Journal of Neuroscience
publication_identifier:
eissn:
- 1529-2401
publication_status: published
publisher: Society for Neuroscience
quality_controlled: '1'
related_material:
record:
- id: '10077'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: The structure of hippocampal CA1 interactions optimizes spatial coding across
experience
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 43
year: '2023'
...
---
_id: '11951'
abstract:
- lang: eng
text: The mammalian hippocampal formation (HF) plays a key role in several higher
brain functions, such as spatial coding, learning and memory. Its simple circuit
architecture is often viewed as a trisynaptic loop, processing input originating
from the superficial layers of the entorhinal cortex (EC) and sending it back
to its deeper layers. Here, we show that excitatory neurons in layer 6b of the
mouse EC project to all sub-regions comprising the HF and receive input from the
CA1, thalamus and claustrum. Furthermore, their output is characterized by unique
slow-decaying excitatory postsynaptic currents capable of driving plateau-like
potentials in their postsynaptic targets. Optogenetic inhibition of the EC-6b
pathway affects spatial coding in CA1 pyramidal neurons, while cell ablation impairs
not only acquisition of new spatial memories, but also degradation of previously
acquired ones. Our results provide evidence of a functional role for cortical
layer 6b neurons in the adult brain.
acknowledged_ssus:
- _id: Bio
- _id: SSU
acknowledgement: We thank F. Marr and A. Schlögl for technical assistance, E. Kralli-Beller
for manuscript editing, as well as C. Sommer and the Imaging and Optics Facility
of the Institute of Science and Technology Austria (ISTA) for image analysis scripts
and microscopy support. We extend our gratitude to J. Wallenschus and D. Rangel
Guerrero for technical assistance acquiring single-unit data and I. Gridchyn for
help with single-unit clustering. Finally, we also thank B. Suter for discussions,
A. Saunders, M. Jösch, and H. Monyer for critically reading earlier versions of
the manuscript, C. Petersen for sharing clearing protocols, and the Scientific Service
Units of ISTA for efficient support. This project was funded by the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
(ERC advanced grant No 692692 to P.J.) and the Fond zur Förderung der Wissenschaftlichen
Forschung (Z 312-B27, Wittgenstein award for P.J. and I3600-B27 for J.G.D. and P.V.).
article_number: '4826'
article_processing_charge: No
article_type: original
author:
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Karola
full_name: Käfer, Karola
id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
last_name: Käfer
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
citation:
ama: Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. A direct
excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes
to spatial coding and memory. Nature Communications. 2022;13. doi:10.1038/s41467-022-32559-8
apa: Ben Simon, Y., Käfer, K., Velicky, P., Csicsvari, J. L., Danzl, J. G., &
Jonas, P. M. (2022). A direct excitatory projection from entorhinal layer 6b neurons
to the hippocampus contributes to spatial coding and memory. Nature Communications.
Springer Nature. https://doi.org/10.1038/s41467-022-32559-8
chicago: Ben Simon, Yoav, Karola Käfer, Philipp Velicky, Jozsef L Csicsvari, Johann
G Danzl, and Peter M Jonas. “A Direct Excitatory Projection from Entorhinal Layer
6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” Nature
Communications. Springer Nature, 2022. https://doi.org/10.1038/s41467-022-32559-8.
ieee: Y. Ben Simon, K. Käfer, P. Velicky, J. L. Csicsvari, J. G. Danzl, and P. M.
Jonas, “A direct excitatory projection from entorhinal layer 6b neurons to the
hippocampus contributes to spatial coding and memory,” Nature Communications,
vol. 13. Springer Nature, 2022.
ista: Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. 2022. A
direct excitatory projection from entorhinal layer 6b neurons to the hippocampus
contributes to spatial coding and memory. Nature Communications. 13, 4826.
mla: Ben Simon, Yoav, et al. “A Direct Excitatory Projection from Entorhinal Layer
6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” Nature
Communications, vol. 13, 4826, Springer Nature, 2022, doi:10.1038/s41467-022-32559-8.
short: Y. Ben Simon, K. Käfer, P. Velicky, J.L. Csicsvari, J.G. Danzl, P.M. Jonas,
Nature Communications 13 (2022).
corr_author: '1'
date_created: 2022-08-24T08:25:50Z
date_published: 2022-08-16T00:00:00Z
date_updated: 2025-06-12T06:10:44Z
day: '16'
ddc:
- '570'
department:
- _id: JoCs
- _id: PeJo
- _id: JoDa
doi: 10.1038/s41467-022-32559-8
ec_funded: 1
external_id:
isi:
- '000841396400008'
pmid:
- '35974109'
file:
- access_level: open_access
checksum: 405936d9e4d33625d80c093c9713a91f
content_type: application/pdf
creator: dernst
date_created: 2022-08-26T11:51:40Z
date_updated: 2022-08-26T11:51:40Z
file_id: '11990'
file_name: 2022_NatureCommunications_BenSimon.pdf
file_size: 5910357
relation: main_file
success: 1
file_date_updated: 2022-08-26T11:51:40Z
has_accepted_license: '1'
intvolume: ' 13'
isi: 1
keyword:
- General Physics and Astronomy
- General Biochemistry
- Genetics and Molecular Biology
- General Chemistry
- Multidisciplinary
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glutamatergic synapse
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03600
name: Optical control of synaptic function via adhesion molecules
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: Synaptic communication in neuronal microcircuits
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus
contributes to spatial coding and memory
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
_id: '12149'
abstract:
- lang: eng
text: Editorial on the Research Topic
acknowledgement: This work was supported by a DFG grant ZA990/1 to DZ. This work was
supported by the MSCA EU proposal 841301 - DREAM, European Commission; Horizon 2020
- Research and Innovation Framework Programme to JFRV.
article_number: '1028154'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Giuditta
full_name: Gambino, Giuditta
last_name: Gambino
- first_name: Rebecca
full_name: Bhik-Ghanie, Rebecca
last_name: Bhik-Ghanie
- first_name: Giuseppe
full_name: Giglia, Giuseppe
last_name: Giglia
- first_name: M. Victoria
full_name: Puig, M. Victoria
last_name: Puig
- first_name: Juan F
full_name: Ramirez Villegas, Juan F
id: 44B06F76-F248-11E8-B48F-1D18A9856A87
last_name: Ramirez Villegas
- first_name: Daniel
full_name: Zaldivar, Daniel
last_name: Zaldivar
citation:
ama: 'Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar
D. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic
and macroscopic levels. Frontiers in Neural Circuits. 2022;16. doi:10.3389/fncir.2022.1028154'
apa: 'Gambino, G., Bhik-Ghanie, R., Giglia, G., Puig, M. V., Ramirez Villegas, J.
F., & Zaldivar, D. (2022). Editorial: Neuromodulatory ascending systems: Their
influence at the microscopic and macroscopic levels. Frontiers in Neural Circuits.
Frontiers Media. https://doi.org/10.3389/fncir.2022.1028154'
chicago: 'Gambino, Giuditta, Rebecca Bhik-Ghanie, Giuseppe Giglia, M. Victoria Puig,
Juan F Ramirez Villegas, and Daniel Zaldivar. “Editorial: Neuromodulatory Ascending
Systems: Their Influence at the Microscopic and Macroscopic Levels.” Frontiers
in Neural Circuits. Frontiers Media, 2022. https://doi.org/10.3389/fncir.2022.1028154.'
ieee: 'G. Gambino, R. Bhik-Ghanie, G. Giglia, M. V. Puig, J. F. Ramirez Villegas,
and D. Zaldivar, “Editorial: Neuromodulatory ascending systems: Their influence
at the microscopic and macroscopic levels,” Frontiers in Neural Circuits,
vol. 16. Frontiers Media, 2022.'
ista: 'Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar
D. 2022. Editorial: Neuromodulatory ascending systems: Their influence at the
microscopic and macroscopic levels. Frontiers in Neural Circuits. 16, 1028154.'
mla: 'Gambino, Giuditta, et al. “Editorial: Neuromodulatory Ascending Systems: Their
Influence at the Microscopic and Macroscopic Levels.” Frontiers in Neural Circuits,
vol. 16, 1028154, Frontiers Media, 2022, doi:10.3389/fncir.2022.1028154.'
short: G. Gambino, R. Bhik-Ghanie, G. Giglia, M.V. Puig, J.F. Ramirez Villegas,
D. Zaldivar, Frontiers in Neural Circuits 16 (2022).
date_created: 2023-01-12T12:07:39Z
date_published: 2022-10-26T00:00:00Z
date_updated: 2025-06-12T06:19:09Z
day: '26'
ddc:
- '570'
department:
- _id: JoCs
doi: 10.3389/fncir.2022.1028154
ec_funded: 1
external_id:
isi:
- '000886671400001'
pmid:
- '36405671'
file:
- access_level: open_access
checksum: 457aa00e1800847abb340853058531de
content_type: application/pdf
creator: dernst
date_created: 2023-01-24T10:10:43Z
date_updated: 2023-01-24T10:10:43Z
file_id: '12357'
file_name: 2022_FrontiersNeuralCircuits_Gambino.pdf
file_size: 110031
relation: main_file
success: 1
file_date_updated: 2023-01-24T10:10:43Z
has_accepted_license: '1'
intvolume: ' 16'
isi: 1
keyword:
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Sensory Systems
- Neuroscience (miscellaneous)
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 26BAE2E4-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '841301'
name: 'The Brainstem-Hippocampus Network Uncovered: Dynamics, Reactivation and Memory
Consolidation'
publication: Frontiers in Neural Circuits
publication_identifier:
issn:
- 1662-5110
publication_status: published
publisher: Frontiers Media
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Editorial: Neuromodulatory ascending systems: Their influence at the microscopic
and macroscopic levels'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 16
year: '2022'
...
---
_id: '10614'
abstract:
- lang: eng
text: 'The infiltration of immune cells into tissues underlies the establishment
of tissue-resident macrophages and responses to infections and tumors. Yet the
mechanisms immune cells utilize to negotiate tissue barriers in living organisms
are not well understood, and a role for cortical actin has not been examined.
Here, we find that the tissue invasion of Drosophila macrophages, also known as
plasmatocytes or hemocytes, utilizes enhanced cortical F-actin levels stimulated
by the Drosophila member of the fos proto oncogene transcription factor family
(Dfos, Kayak). RNA sequencing analysis and live imaging show that Dfos enhances
F-actin levels around the entire macrophage surface by increasing mRNA levels
of the membrane spanning molecular scaffold tetraspanin TM4SF, and the actin cross-linking
filamin Cheerio, which are themselves required for invasion. Both the filamin
and the tetraspanin enhance the cortical activity of Rho1 and the formin Diaphanous
and thus the assembly of cortical actin, which is a critical function since expressing
a dominant active form of Diaphanous can rescue the Dfos macrophage invasion defect.
In vivo imaging shows that Dfos enhances the efficiency of the initial phases
of macrophage tissue entry. Genetic evidence argues that this Dfos-induced program
in macrophages counteracts the constraint produced by the tension of surrounding
tissues and buffers the properties of the macrophage nucleus from affecting tissue
entry. We thus identify strengthening the cortical actin cytoskeleton through
Dfos as a key process allowing efficient forward movement of an immune cell into
surrounding tissues. '
acknowledged_ssus:
- _id: LifeSc
acknowledgement: 'We thank the following for their contributions: Plasmids were supplied
by the Drosophila Genomics Resource Center (NIH 2P40OD010949-10A1); fly stocks were
provided by K. Brueckner, B. Stramer, M. Uhlirova, O. Schuldiner, the Bloomington
Drosophila Stock Center (NIH P40OD018537) and the Vienna Drosophila Resource Center,
FlyBase for essential genomic information, and the BDGP in situ database for data.
For antibodies, we thank the Developmental Studies Hybridoma Bank, which was created
by the Eunice Kennedy Shriver National Institute of Child Health and Human Development
of the NIH and is maintained at the University of Iowa, as well as J. Zeitlinger
for her generous gift of Dfos antibody. We thank the Vienna BioCenter Core Facilities
for RNA sequencing and analysis and the Life Scientific Service Units at IST Austria
for technical support and assistance with microscopy and FACS analysis. We thank
C. P. Heisenberg, P. Martin, M. Sixt, and Siekhaus group members for discussions
and T. Hurd, A. Ratheesh, and P. Rangan for comments on the manuscript.'
article_processing_charge: No
article_type: original
author:
- first_name: Vera
full_name: Belyaeva, Vera
id: 47F080FE-F248-11E8-B48F-1D18A9856A87
last_name: Belyaeva
- first_name: Stephanie
full_name: Wachner, Stephanie
id: 2A95E7B0-F248-11E8-B48F-1D18A9856A87
last_name: Wachner
- first_name: Attila
full_name: György, Attila
id: 3BCEDBE0-F248-11E8-B48F-1D18A9856A87
last_name: György
orcid: 0000-0002-1819-198X
- first_name: Shamsi
full_name: Emtenani, Shamsi
id: 49D32318-F248-11E8-B48F-1D18A9856A87
last_name: Emtenani
orcid: 0000-0001-6981-6938
- first_name: Igor
full_name: Gridchyn, Igor
id: 4B60654C-F248-11E8-B48F-1D18A9856A87
last_name: Gridchyn
orcid: 0000-0002-1807-1929
- first_name: Maria
full_name: Akhmanova, Maria
id: 3425EC26-F248-11E8-B48F-1D18A9856A87
last_name: Akhmanova
orcid: 0000-0003-1522-3162
- first_name: M
full_name: Linder, M
last_name: Linder
- first_name: Marko
full_name: Roblek, Marko
id: 3047D808-F248-11E8-B48F-1D18A9856A87
last_name: Roblek
orcid: 0000-0001-9588-1389
- first_name: M
full_name: Sibilia, M
last_name: Sibilia
- first_name: Daria E
full_name: Siekhaus, Daria E
id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
last_name: Siekhaus
orcid: 0000-0001-8323-8353
citation:
ama: Belyaeva V, Wachner S, György A, et al. Fos regulates macrophage infiltration
against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila.
PLoS Biology. 2022;20(1):e3001494. doi:10.1371/journal.pbio.3001494
apa: Belyaeva, V., Wachner, S., György, A., Emtenani, S., Gridchyn, I., Akhmanova,
M., … Siekhaus, D. E. (2022). Fos regulates macrophage infiltration against surrounding
tissue resistance by a cortical actin-based mechanism in Drosophila. PLoS Biology.
Public Library of Science. https://doi.org/10.1371/journal.pbio.3001494
chicago: Belyaeva, Vera, Stephanie Wachner, Attila György, Shamsi Emtenani, Igor
Gridchyn, Maria Akhmanova, M Linder, Marko Roblek, M Sibilia, and Daria E Siekhaus.
“Fos Regulates Macrophage Infiltration against Surrounding Tissue Resistance by
a Cortical Actin-Based Mechanism in Drosophila.” PLoS Biology. Public Library
of Science, 2022. https://doi.org/10.1371/journal.pbio.3001494.
ieee: V. Belyaeva et al., “Fos regulates macrophage infiltration against
surrounding tissue resistance by a cortical actin-based mechanism in Drosophila,”
PLoS Biology, vol. 20, no. 1. Public Library of Science, p. e3001494, 2022.
ista: Belyaeva V, Wachner S, György A, Emtenani S, Gridchyn I, Akhmanova M, Linder
M, Roblek M, Sibilia M, Siekhaus DE. 2022. Fos regulates macrophage infiltration
against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila.
PLoS Biology. 20(1), e3001494.
mla: Belyaeva, Vera, et al. “Fos Regulates Macrophage Infiltration against Surrounding
Tissue Resistance by a Cortical Actin-Based Mechanism in Drosophila.” PLoS
Biology, vol. 20, no. 1, Public Library of Science, 2022, p. e3001494, doi:10.1371/journal.pbio.3001494.
short: V. Belyaeva, S. Wachner, A. György, S. Emtenani, I. Gridchyn, M. Akhmanova,
M. Linder, M. Roblek, M. Sibilia, D.E. Siekhaus, PLoS Biology 20 (2022) e3001494.
corr_author: '1'
date_created: 2022-01-12T10:18:17Z
date_published: 2022-01-06T00:00:00Z
date_updated: 2026-04-30T22:30:34Z
day: '06'
ddc:
- '570'
department:
- _id: DaSi
- _id: JoCs
doi: 10.1371/journal.pbio.3001494
ec_funded: 1
external_id:
isi:
- '000971223700001'
pmid:
- '34990456'
file:
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content_type: application/pdf
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month: '01'
oa: 1
oa_version: Published Version
page: e3001494
pmid: 1
project:
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call_identifier: FWF
grant_number: P29638
name: The role of Drosophila TNF alpha in immune cell invasion
- _id: 26199CA4-B435-11E9-9278-68D0E5697425
grant_number: '24800'
name: Implications of a TGFβ/Dpp-activated subpopulation for Drosophila macrophage
migration
- _id: 2536F660-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '334077'
name: Investigating the role of transporters in invasive migration through junctions
publication: PLoS Biology
publication_identifier:
eissn:
- 1545-7885
issn:
- 1544-9173
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
related_material:
link:
- relation: earlier_version
url: https://www.biorxiv.org/content/10.1101/2020.09.18.301481
- description: News on the ISTA Website
relation: press_release
url: https://ista.ac.at/en/news/resisting-the-pressure/
record:
- id: '8557'
relation: earlier_version
status: public
- id: '11193'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Fos regulates macrophage infiltration against surrounding tissue resistance
by a cortical actin-based mechanism in Drosophila
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 20
year: '2022'
...
---
OA_place: publisher
_id: '11932'
abstract:
- lang: eng
text: "The ability to form and retrieve memories is central to survival. In mammals,
the hippocampus\r\nis a brain region essential to the acquisition and consolidation
of new memories. It is also\r\ninvolved in keeping track of one’s position in
space and aids navigation. Although this\r\nspace-memory has been a source of
contradiction, evidence supports the view that the role of\r\nthe hippocampus
in navigation is memory, thanks to the formation of cognitive maps. First\r\nintroduced
by Tolman in 1948, cognitive maps are generally used to organize experiences in\r\nmemory;
however, the detailed mechanisms by which these maps are formed and stored are
not\r\nyet agreed upon. Some influential theories describe this process as involving
three fundamental\r\nsteps: initial encoding by the hippocampus, interactions
between the hippocampus and other\r\ncortical areas, and long-term extra-hippocampal
consolidation. In this thesis, I will show how\r\nthe investigation of cognitive
maps of space helped to shed light on each of these three memory\r\nprocesses.\r\nThe
first study included in this thesis deals with the initial encoding of spatial
memories in\r\nthe hippocampus. Much is known about encoding at the level of single
cells, but less about\r\ntheir co-activity or joint contribution to the encoding
of novel spatial information. I will\r\ndescribe the structure of an interaction
network that allows for efficient encoding of noisy\r\nspatial information during
the first exploration of a novel environment.\r\nThe second study describes the
interactions between the hippocampus and the prefrontal\r\ncortex (PFC), two areas
directly and indirectly connected. It is known that the PFC, in concert\r\nwith
the hippocampus, is involved in various processes, including memory storage and
spatial\r\nnavigation. Nonetheless, the detailed mechanisms by which PFC receives
information from the\r\nhippocampus are not clear. I will show how a transient
improvement in theta phase locking of\r\nPFC cells enables interactions of cell
pairs across the two regions.\r\nThe third study describes the learning of behaviorally-relevant
spatial locations in the hippocampus and the medial entorhinal cortex. I will
show how the accumulation of firing around\r\ngoal locations, a correlate of learning,
can shed light on the transition from short- to long-term\r\nspatial memories
and the speed of consolidation in different brain areas.\r\nThe studies included
in this thesis represent the main scientific contributions of my Ph.D. They\r\ninvolve
statistical analyses and models of neural responses of cells in different brain
areas of\r\nrats executing spatial tasks. I will conclude the thesis by discussing
the impact of the findings\r\non principles of memory formation and retention,
including the mechanisms, the speed, and\r\nthe duration of these processes."
acknowledgement: I acknowledge the support from the European Union’s Horizon 2020
research and innovation program under the Marie Skłodowska-Curie Grant Agreement
No. 665385.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
citation:
ama: Nardin M. On the encoding, transfer, and consolidation of spatial memories.
2022. doi:10.15479/at:ista:11932
apa: Nardin, M. (2022). On the encoding, transfer, and consolidation of spatial
memories. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:11932
chicago: Nardin, Michele. “On the Encoding, Transfer, and Consolidation of Spatial
Memories.” Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11932.
ieee: M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,”
Institute of Science and Technology Austria, 2022.
ista: Nardin M. 2022. On the encoding, transfer, and consolidation of spatial memories.
Institute of Science and Technology Austria.
mla: Nardin, Michele. On the Encoding, Transfer, and Consolidation of Spatial
Memories. Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11932.
short: M. Nardin, On the Encoding, Transfer, and Consolidation of Spatial Memories,
Institute of Science and Technology Austria, 2022.
corr_author: '1'
date_created: 2022-08-19T08:52:30Z
date_published: 2022-08-19T00:00:00Z
date_updated: 2026-04-07T14:22:58Z
day: '19'
ddc:
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoCs
doi: 10.15479/at:ista:11932
ec_funded: 1
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creator: mnardin
date_created: 2022-08-19T16:31:34Z
date_updated: 2023-06-20T22:30:04Z
embargo_to: open_access
file_id: '11935'
file_name: Michele Nardin, Ph.D. Thesis - ISTA (1).zip
file_size: 13515457
relation: source_file
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content_type: application/pdf
creator: mnardin
date_created: 2022-08-22T09:43:50Z
date_updated: 2023-06-20T22:30:04Z
embargo: 2023-06-19
file_id: '11941'
file_name: Michele_Nardin_Phd_Thesis_PDFA.pdf
file_size: 9906458
relation: main_file
file_date_updated: 2023-06-20T22:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '136'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '6194'
relation: part_of_dissertation
status: public
- id: '10077'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
title: On the encoding, transfer, and consolidation of spatial memories
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2022'
...
---
_id: '10635'
abstract:
- lang: eng
text: The brain efficiently performs nonlinear computations through its intricate
networks of spiking neurons, but how this is done remains elusive. While nonlinear
computations can be implemented successfully in spiking neural networks, this
requires supervised training and the resulting connectivity can be hard to interpret.
In contrast, the required connectivity for any computation in the form of a linear
dynamical system can be directly derived and understood with the spike coding
network (SCN) framework. These networks also have biologically realistic activity
patterns and are highly robust to cell death. Here we extend the SCN framework
to directly implement any polynomial dynamical system, without the need for training.
This results in networks requiring a mix of synapse types (fast, slow, and multiplicative),
which we term multiplicative spike coding networks (mSCNs). Using mSCNs, we demonstrate
how to directly derive the required connectivity for several nonlinear dynamical
systems. We also show how to carry out higher-order polynomials with coupled networks
that use only pair-wise multiplicative synapses, and provide expected numbers
of connections for each synapse type. Overall, our work demonstrates a novel method
for implementing nonlinear computations in spiking neural networks, while keeping
the attractive features of standard SCNs (robustness, realistic activity patterns,
and interpretable connectivity). Finally, we discuss the biological plausibility
of our approach, and how the high accuracy and robustness of the approach may
be of interest for neuromorphic computing.
acknowledgement: "A preprint version of this article has been peer-reviewed and recommended
by Peer Community In Neuroscience (DOI link to the recommendation: https://doi.org/10.24072/pci.cneuro.100003).\r\nWe
thank Christian Machens and Nuno Calaim for useful discussions on the project. This
report\r\ncame out of a collaboration started at the CAJAL Advanced Neuroscience
Training Programme in\r\nComputational Neuroscience in Lisbon, Portugal, during
the 2019 summer. The authors would\r\nlike to thank the participants, TAs, lecturers,
and organizers of the summer school. SWK was\r\nsupported by the Simons Collaboration
on the Global Brain (543009). WFP was supported by\r\nFCT (032077). MN was supported
by European Union Horizon 2020 (665385).\r\n"
article_number: e68
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: James W.
full_name: Phillips, James W.
last_name: Phillips
- first_name: William F.
full_name: Podlaski, William F.
last_name: Podlaski
- first_name: Sander W.
full_name: Keemink, Sander W.
last_name: Keemink
citation:
ama: Nardin M, Phillips JW, Podlaski WF, Keemink SW. Nonlinear computations in spiking
neural networks through multiplicative synapses. Peer Community Journal.
2021;1. doi:10.24072/pcjournal.69
apa: Nardin, M., Phillips, J. W., Podlaski, W. F., & Keemink, S. W. (2021).
Nonlinear computations in spiking neural networks through multiplicative synapses.
Peer Community Journal. Peer Community In. https://doi.org/10.24072/pcjournal.69
chicago: Nardin, Michele, James W. Phillips, William F. Podlaski, and Sander W.
Keemink. “Nonlinear Computations in Spiking Neural Networks through Multiplicative
Synapses.” Peer Community Journal. Peer Community In, 2021. https://doi.org/10.24072/pcjournal.69.
ieee: M. Nardin, J. W. Phillips, W. F. Podlaski, and S. W. Keemink, “Nonlinear computations
in spiking neural networks through multiplicative synapses,” Peer Community
Journal, vol. 1. Peer Community In, 2021.
ista: Nardin M, Phillips JW, Podlaski WF, Keemink SW. 2021. Nonlinear computations
in spiking neural networks through multiplicative synapses. Peer Community Journal.
1, e68.
mla: Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks
through Multiplicative Synapses.” Peer Community Journal, vol. 1, e68,
Peer Community In, 2021, doi:10.24072/pcjournal.69.
short: M. Nardin, J.W. Phillips, W.F. Podlaski, S.W. Keemink, Peer Community Journal
1 (2021).
corr_author: '1'
date_created: 2022-01-17T11:12:40Z
date_published: 2021-12-15T00:00:00Z
date_updated: 2025-05-14T11:23:19Z
day: '15'
ddc:
- '519'
department:
- _id: GradSch
- _id: JoCs
doi: 10.24072/pcjournal.69
ec_funded: 1
external_id:
arxiv:
- '2009.03857'
file:
- access_level: open_access
checksum: cd9af6b331918608f2e3d1c7940cbf4f
content_type: application/pdf
creator: mnardin
date_created: 2022-01-17T11:15:26Z
date_updated: 2022-01-17T11:15:26Z
file_id: '10636'
file_name: 10_24072_pcjournal_69.pdf
file_size: 3311494
relation: main_file
success: 1
file_date_updated: 2022-01-17T11:15:26Z
has_accepted_license: '1'
intvolume: ' 1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Peer Community Journal
publication_identifier:
eissn:
- 2804-3871
publication_status: published
publisher: Peer Community In
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonlinear computations in spiking neural networks through multiplicative synapses
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2021'
...
---
_id: '10080'
abstract:
- lang: eng
text: Hippocampal and neocortical neural activity is modulated by the position of
the individual in space. While hippocampal neurons provide the basis for a spatial
map, prefrontal cortical neurons generalize over environmental features. Whether
these generalized representations result from a bidirectional interaction with,
or are mainly derived from hippocampal spatial representations is not known. By
examining simultaneously recorded hippocampal and medial prefrontal neurons, we
observed that prefrontal spatial representations show a delayed coherence with
hippocampal ones. We also identified subpopulations of cells in the hippocampus
and medial prefrontal cortex that formed functional cross-area couplings; these
resembled the optimal connections predicted by a probabilistic model of spatial
information transfer and generalization. Moreover, cross-area couplings were strongest
and had the shortest delay preceding spatial decision-making. Our results suggest
that generalized spatial coding in the medial prefrontal cortex is inherited from
spatial representations in the hippocampus, and that the routing of information
can change dynamically with behavioral demands.
acknowledgement: We thank Federico Stella for invaluable suggestions and discussions.
We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions
on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for
comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN
IN-SENS (grant 607616).
article_processing_charge: No
author:
- first_name: Michele
full_name: Nardin, Michele
id: 30BD0376-F248-11E8-B48F-1D18A9856A87
last_name: Nardin
orcid: 0000-0001-8849-6570
- first_name: Karola
full_name: Käfer, Karola
id: 2DAA49AA-F248-11E8-B48F-1D18A9856A87
last_name: Käfer
- first_name: Jozsef L
full_name: Csicsvari, Jozsef L
id: 3FA14672-F248-11E8-B48F-1D18A9856A87
last_name: Csicsvari
orcid: 0000-0002-5193-4036
citation:
ama: Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in
the prefrontal cortex is inherited from the hippocampus. bioRxiv. doi:10.1101/2021.09.30.462269
apa: Nardin, M., Käfer, K., & Csicsvari, J. L. (n.d.). The generalized spatial
representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv.
Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.09.30.462269
chicago: Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized
Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.”
BioRxiv. Cold Spring Harbor Laboratory, n.d. https://doi.org/10.1101/2021.09.30.462269.
ieee: M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation
in the prefrontal cortex is inherited from the hippocampus,” bioRxiv. Cold
Spring Harbor Laboratory.
ista: Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in
the prefrontal cortex is inherited from the hippocampus. bioRxiv, 10.1101/2021.09.30.462269.
mla: Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal
Cortex Is Inherited from the Hippocampus.” BioRxiv, Cold Spring Harbor
Laboratory, doi:10.1101/2021.09.30.462269.
short: M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.).
date_created: 2021-10-04T06:28:32Z
date_published: 2021-10-02T00:00:00Z
date_updated: 2025-04-15T06:48:21Z
day: '02'
department:
- _id: GradSch
- _id: JoCs
doi: 10.1101/2021.09.30.462269
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2021.09.30.462269
month: '10'
oa: 1
oa_version: Preprint
project:
- _id: 257BBB4C-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '607616'
name: inter-and intracellular signalling in schizophrenia
publication: bioRxiv
publication_status: submitted
publisher: Cold Spring Harbor Laboratory
status: public
title: The generalized spatial representation in the prefrontal cortex is inherited
from the hippocampus
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...