---
_id: '12349'
abstract:
- lang: eng
text: Statistics of natural scenes are not uniform - their structure varies dramatically
from ground to sky. It remains unknown whether these non-uniformities are reflected
in the large-scale organization of the early visual system and what benefits such
adaptations would confer. Here, by relying on the efficient coding hypothesis,
we predict that changes in the structure of receptive fields across visual space
increase the efficiency of sensory coding. We show experimentally that, in agreement
with our predictions, receptive fields of retinal ganglion cells change their
shape along the dorsoventral retinal axis, with a marked surround asymmetry at
the visual horizon. Our work demonstrates that, according to principles of efficient
coding, the panoramic structure of natural scenes is exploited by the retina across
space and cell-types.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Hiroki Asari for sharing the dataset of naturalistic images,
Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative
work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings.
We also thank Gasper Tkacik and members of the Neuroethology group for their comments
on the manuscript. This research was supported by the Scientific Service Units of
IST Austria through resources provided by Scientific Computing, the Preclinical
Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work
was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385
(DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers
Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European
Research Council Starting Grant 756502 (MJ).
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Divyansh
full_name: Gupta, Divyansh
id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
orcid: 0000-0001-7400-6665
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Olga
full_name: Symonova, Olga
id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
last_name: Symonova
orcid: 0000-0003-2012-9947
- first_name: Jan
full_name: Svaton, Jan
id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
last_name: Svaton
orcid: 0000-0002-6198-2939
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature
Neuroscience. 2023;26:606-614. doi:10.1038/s41593-023-01280-0
apa: Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &
Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization
of receptive fields. Nature Neuroscience. Springer Nature. https://doi.org/10.1038/s41593-023-01280-0
chicago: Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan
Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide
Organization of Receptive Fields.” Nature Neuroscience. Springer Nature,
2023. https://doi.org/10.1038/s41593-023-01280-0.
ieee: D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A.
Jösch, “Panoramic visual statistics shape retina-wide organization of receptive
fields,” Nature Neuroscience, vol. 26. Springer Nature, pp. 606–614, 2023.
ista: Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic
visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience.
26, 606–614.
mla: Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization
of Receptive Fields.” Nature Neuroscience, vol. 26, Springer Nature, 2023,
pp. 606–14, doi:10.1038/s41593-023-01280-0.
short: D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch,
Nature Neuroscience 26 (2023) 606–614.
date_created: 2023-01-23T14:14:19Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2023-10-04T11:41:05Z
day: '01'
ddc:
- '570'
department:
- _id: GradSch
- _id: MaJö
doi: 10.1038/s41593-023-01280-0
ec_funded: 1
external_id:
isi:
- '000955258300002'
pmid:
- '36959418'
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oa: 1
oa_version: Published Version
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call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
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grant_number: P34015
name: Efficient coding with biophysical realism
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call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
- _id: 266D407A-B435-11E9-9278-68D0E5697425
grant_number: LT000256
name: Neuronal networks of salience and spatial detection in the murine superior
colliculus
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
grant_number: ALTF 1098-2017
name: Connecting sensory with motor processing in the superior colliculus
publication: Nature Neuroscience
publication_identifier:
eissn:
- 1546-1726
issn:
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publication_status: published
publisher: Springer Nature
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title: Panoramic visual statistics shape retina-wide organization of receptive fields
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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)
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user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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...
---
_id: '12370'
abstract:
- lang: eng
text: 'Statistics of natural scenes are not uniform - their structure varies dramatically
from ground to sky. It remains unknown whether these non-uniformities are reflected
in the large-scale organization of the early visual system and what benefits such
adaptations would confer. Here, by relying on the efficient coding hypothesis,
we predict that changes in the structure of receptive fields across visual space
increase the efficiency of sensory coding. We show experimentally that, in agreement
with our predictions, receptive fields of retinal ganglion cells change their
shape along the dorsoventral retinal axis, with a marked surround asymmetry at
the visual horizon. Our work demonstrates that, according to principles of efficient
coding, the panoramic structure of natural scenes is exploited by the retina across
space and cell-types. '
acknowledged_ssus:
- _id: ScienComp
- _id: M-Shop
- _id: Bio
- _id: PreCl
- _id: LifeSc
article_processing_charge: No
author:
- first_name: Divyansh
full_name: Gupta, Divyansh
id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
orcid: 0000-0001-7400-6665
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: 'Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics
shape retina-wide organization of receptive fields. 2023. doi:10.15479/AT:ISTA:12370'
apa: 'Gupta, D., Sumser, A. L., & Jösch, M. A. (2023). Research Data for: Panoramic
visual statistics shape retina-wide organization of receptive fields. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12370'
chicago: 'Gupta, Divyansh, Anton L Sumser, and Maximilian A Jösch. “Research Data
for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.”
Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/AT:ISTA:12370.'
ieee: 'D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual
statistics shape retina-wide organization of receptive fields.” Institute of Science
and Technology Austria, 2023.'
ista: 'Gupta D, Sumser AL, Jösch MA. 2023. Research Data for: Panoramic visual statistics
shape retina-wide organization of receptive fields, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:12370.'
mla: 'Gupta, Divyansh, et al. Research Data for: Panoramic Visual Statistics
Shape Retina-Wide Organization of Receptive Fields. Institute of Science and
Technology Austria, 2023, doi:10.15479/AT:ISTA:12370.'
short: D. Gupta, A.L. Sumser, M.A. Jösch, (2023).
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id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
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id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- contributor_type: researcher
first_name: Jan
id: f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2
last_name: Svaton
date_created: 2023-01-25T12:45:18Z
date_published: 2023-01-26T00:00:00Z
date_updated: 2023-10-04T11:41:04Z
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ddc:
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- _id: MaJö
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title: 'Research Data for: Panoramic visual statistics shape retina-wide organization
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legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
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...
---
_id: '12288'
abstract:
- lang: eng
text: To understand the function of neuronal circuits, it is crucial to disentangle
the connectivity patterns within the network. However, most tools currently used
to explore connectivity have low throughput, low selectivity, or limited accessibility.
Here, we report the development of an improved packaging system for the production
of the highly neurotropic RVdGenvA-CVS-N2c rabies viral vectors, yielding titers
orders of magnitude higher with no background contamination, at a fraction of
the production time, while preserving the efficiency of transsynaptic labeling.
Along with the production pipeline, we developed suites of ‘starter’ AAV and bicistronic
RVdG-CVS-N2c vectors, enabling retrograde labeling from a wide range of neuronal
populations, tailored for diverse experimental requirements. We demonstrate the
power and flexibility of the new system by uncovering hidden local and distal
inhibitory connections in the mouse hippocampal formation and by imaging the functional
properties of a cortical microcircuit across weeks. Our novel production pipeline
provides a convenient approach to generate new rabies vectors, while our toolkit
flexibly and efficiently expands the current capacity to label, manipulate and
image the neuronal activity of interconnected neuronal circuits in vitro and in
vivo.
acknowledged_ssus:
- _id: Bio
- _id: PreCl
acknowledgement: We thank F Marr for technical assistance, A Murray for RVdG-CVS-N2c
viruses and Neuro2A packaging cell-lines and J Watson for reading the manuscript.
This research was supported by the Scientific Service Units (SSU) of IST-Austria
through resources provided by the Imaging and Optics Facility (IOF) and the Preclinical
Facility (PCF). 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, PJ, ERC starting grant No 756502, MJ), the Fond zur Förderung der
Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award, PJ), the Human Frontier
Science Program (LT000256/2018-L, AS) and EMBO (ALTF 1098-2017, AS).
article_number: '79848'
article_processing_charge: No
article_type: original
author:
- first_name: Anton L
full_name: Sumser, Anton L
id: 3320A096-F248-11E8-B48F-1D18A9856A87
last_name: Sumser
orcid: 0000-0002-4792-1881
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
citation:
ama: Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. Fast, high-throughput production
of improved rabies viral vectors for specific, efficient and versatile transsynaptic
retrograde labeling. eLife. 2022;11. doi:10.7554/elife.79848
apa: Sumser, A. L., Jösch, M. A., Jonas, P. M., & Ben Simon, Y. (2022). Fast,
high-throughput production of improved rabies viral vectors for specific, efficient
and versatile transsynaptic retrograde labeling. ELife. eLife Sciences
Publications. https://doi.org/10.7554/elife.79848
chicago: Sumser, Anton L, Maximilian A Jösch, Peter M Jonas, and Yoav Ben Simon.
“Fast, High-Throughput Production of Improved Rabies Viral Vectors for Specific,
Efficient and Versatile Transsynaptic Retrograde Labeling.” ELife. eLife
Sciences Publications, 2022. https://doi.org/10.7554/elife.79848.
ieee: A. L. Sumser, M. A. Jösch, P. M. Jonas, and Y. Ben Simon, “Fast, high-throughput
production of improved rabies viral vectors for specific, efficient and versatile
transsynaptic retrograde labeling,” eLife, vol. 11. eLife Sciences Publications,
2022.
ista: Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. 2022. Fast, high-throughput production
of improved rabies viral vectors for specific, efficient and versatile transsynaptic
retrograde labeling. eLife. 11, 79848.
mla: Sumser, Anton L., et al. “Fast, High-Throughput Production of Improved Rabies
Viral Vectors for Specific, Efficient and Versatile Transsynaptic Retrograde Labeling.”
ELife, vol. 11, 79848, eLife Sciences Publications, 2022, doi:10.7554/elife.79848.
short: A.L. Sumser, M.A. Jösch, P.M. Jonas, Y. Ben Simon, ELife 11 (2022).
date_created: 2023-01-16T10:04:15Z
date_published: 2022-09-15T00:00:00Z
date_updated: 2023-08-04T10:29:48Z
day: '15'
ddc:
- '570'
department:
- _id: MaJö
- _id: PeJo
doi: 10.7554/elife.79848
ec_funded: 1
external_id:
isi:
- '000892204300001'
pmid:
- '36040301'
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success: 1
file_date_updated: 2023-01-30T11:50:53Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
keyword:
- General Immunology and Microbiology
- General Biochemistry
- Genetics and Molecular Biology
- General Medicine
- General Neuroscience
language:
- iso: eng
month: '09'
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 glumatergic synapse
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '756502'
name: Circuits of Visual Attention
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
- _id: 266D407A-B435-11E9-9278-68D0E5697425
grant_number: LT000256
name: Neuronal networks of salience and spatial detection in the murine superior
colliculus
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
grant_number: ALTF 1098-2017
name: Connecting sensory with motor processing in the superior colliculus
publication: eLife
publication_identifier:
eissn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Fast, high-throughput production of improved rabies viral vectors for specific,
efficient and versatile transsynaptic retrograde labeling
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: 11
year: '2022'
...
---
_id: '7551'
abstract:
- lang: eng
text: Novelty facilitates formation of memories. The detection of novelty and storage
of contextual memories are both mediated by the hippocampus, yet the mechanisms
that link these two functions remain to be defined. Dentate granule cells (GCs)
of the dorsal hippocampus fire upon novelty exposure forming engrams of contextual
memory. However, their key excitatory inputs from the entorhinal cortex are not
responsive to novelty and are insufficient to make dorsal GCs fire reliably. Here
we uncover a powerful glutamatergic pathway to dorsal GCs from ventral hippocampal
mossy cells (MCs) that relays novelty, and is necessary and sufficient for driving
dorsal GCs activation. Furthermore, manipulation of ventral MCs activity bidirectionally
regulates novelty-induced contextual memory acquisition. Our results show that
ventral MCs activity controls memory formation through an intra-hippocampal interaction
mechanism gated by novelty.
acknowledgement: We thank Peter Jonas and Peter Somogyi for critically reading the
manuscript, Satoshi Kida for helpful discussion, Taijia Makinen for providing the
Prox1-creERT2 mouse line, and Hiromu Yawo for the VAMP2-Venus construct. We also
thank Vivek Jayaraman, Ph.D.; Rex A. Kerr, Ph.D.; Douglas S. Kim, Ph.D.; Loren L.
Looger, Ph.D.; and Karel Svoboda, Ph.D. from the GENIE Project, Janelia Farm Research
Campus, Howard Hughes Medical Institute for the viral constructs used for GCaMP6s
expression. We also thank Jacqueline Montanaro, Vanessa Zheden, David Kleindienst,
and Laura Burnett for technical assistance, as well as Robert Beattie for imaging
assistance. This work was supported by a European Research Council Advanced Grant
694539 to R.S.
article_processing_charge: No
article_type: original
author:
- first_name: Felipe A
full_name: Fredes Tolorza, Felipe A
id: 384825DA-F248-11E8-B48F-1D18A9856A87
last_name: Fredes Tolorza
- first_name: Maria A
full_name: Silva Sifuentes, Maria A
id: 371B3D6E-F248-11E8-B48F-1D18A9856A87
last_name: Silva Sifuentes
- first_name: Peter
full_name: Koppensteiner, Peter
id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
last_name: Koppensteiner
- first_name: Kenta
full_name: Kobayashi, Kenta
last_name: Kobayashi
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
citation:
ama: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
MA, Shigemoto R. Ventro-dorsal hippocampal pathway gates novelty-induced contextual
memory formation. Current Biology. 2021;31(1):P25-38.E5. doi:10.1016/j.cub.2020.09.074
apa: Fredes Tolorza, F. A., Silva Sifuentes, M. A., Koppensteiner, P., Kobayashi,
K., Jösch, M. A., & Shigemoto, R. (2021). Ventro-dorsal hippocampal pathway
gates novelty-induced contextual memory formation. Current Biology. Elsevier.
https://doi.org/10.1016/j.cub.2020.09.074
chicago: Fredes Tolorza, Felipe A, Maria A Silva Sifuentes, Peter Koppensteiner,
Kenta Kobayashi, Maximilian A Jösch, and Ryuichi Shigemoto. “Ventro-Dorsal Hippocampal
Pathway Gates Novelty-Induced Contextual Memory Formation.” Current Biology.
Elsevier, 2021. https://doi.org/10.1016/j.cub.2020.09.074.
ieee: F. A. Fredes Tolorza, M. A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
M. A. Jösch, and R. Shigemoto, “Ventro-dorsal hippocampal pathway gates novelty-induced
contextual memory formation,” Current Biology, vol. 31, no. 1. Elsevier,
p. P25–38.E5, 2021.
ista: Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch
MA, Shigemoto R. 2021. Ventro-dorsal hippocampal pathway gates novelty-induced
contextual memory formation. Current Biology. 31(1), P25–38.E5.
mla: Fredes Tolorza, Felipe A., et al. “Ventro-Dorsal Hippocampal Pathway Gates
Novelty-Induced Contextual Memory Formation.” Current Biology, vol. 31,
no. 1, Elsevier, 2021, p. P25–38.E5, doi:10.1016/j.cub.2020.09.074.
short: F.A. Fredes Tolorza, M.A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi,
M.A. Jösch, R. Shigemoto, Current Biology 31 (2021) P25–38.E5.
date_created: 2020-02-28T10:56:18Z
date_published: 2021-01-11T00:00:00Z
date_updated: 2023-08-04T10:47:11Z
day: '11'
ddc:
- '570'
department:
- _id: MaJö
- _id: RySh
doi: 10.1016/j.cub.2020.09.074
ec_funded: 1
external_id:
isi:
- '000614361000020'
file:
- access_level: open_access
checksum: b7b9c8bc84a08befce365c675229a7d1
content_type: application/pdf
creator: dernst
date_created: 2020-10-19T13:31:28Z
date_updated: 2020-10-19T13:31:28Z
file_id: '8678'
file_name: 2021_CurrentBiology_Fredes.pdf
file_size: 4915964
relation: main_file
success: 1
file_date_updated: 2020-10-19T13:31:28Z
has_accepted_license: '1'
intvolume: ' 31'
isi: 1
issue: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '01'
oa: 1
oa_version: Published Version
page: P25-38.E5
project:
- _id: 25CA28EA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '694539'
name: 'In situ analysis of single channel subunit composition in neurons: physiological
implication in synaptic plasticity and behaviour'
publication: Current Biology
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/remembering-novelty/
status: public
title: Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 31
year: '2021'
...
---
_id: '410'
abstract:
- lang: eng
text: Lesion verification and quantification is traditionally done via histological
examination of sectioned brains, a time-consuming process that relies heavily
on manual estimation. Such methods are particularly problematic in posterior cortical
regions (e.g. visual cortex), where sectioning leads to significant damage and
distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes,
which relies on the same techniques, suffers from similar drawbacks and requires
even higher precision. Here, we propose a new, simple method for quantitative
lesion characterization and electrode localization that is less labor-intensive
and yields more detailed results than conventional methods. We leverage staining
techniques standard in electron microscopy with the use of commodity micro-CT
imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed
these in resin and scan entire brains in a micro-CT machine. The scans result
in 3D reconstructions of the brains with section thickness dependent on sample
size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be
segmented manually or automatically. Because the method captures the entire intact
brain volume, comparisons within and across studies are more tractable, and the
extent of lesions and electrodes may be studied with higher accuracy than with
current methods.
article_number: '5184'
article_processing_charge: No
author:
- first_name: Javier
full_name: Masís, Javier
last_name: Masís
- first_name: David
full_name: Mankus, David
last_name: Mankus
- first_name: Steffen
full_name: Wolff, Steffen
last_name: Wolff
- first_name: Grigori
full_name: Guitchounts, Grigori
last_name: Guitchounts
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: David
full_name: Cox, David
last_name: Cox
citation:
ama: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based
method for quantitative brain lesion characterization and electrode localization.
Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-23247-z
apa: Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., & Cox,
D. (2018). A micro-CT-based method for quantitative brain lesion characterization
and electrode localization. Scientific Reports. Nature Publishing Group.
https://doi.org/10.1038/s41598-018-23247-z
chicago: Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian
A Jösch, and David Cox. “A Micro-CT-Based Method for Quantitative Brain Lesion
Characterization and Electrode Localization.” Scientific Reports. Nature
Publishing Group, 2018. https://doi.org/10.1038/s41598-018-23247-z.
ieee: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A
micro-CT-based method for quantitative brain lesion characterization and electrode
localization,” Scientific Reports, vol. 8, no. 1. Nature Publishing Group,
2018.
ista: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based
method for quantitative brain lesion characterization and electrode localization.
Scientific Reports. 8(1), 5184.
mla: Masís, Javier, et al. “A Micro-CT-Based Method for Quantitative Brain Lesion
Characterization and Electrode Localization.” Scientific Reports, vol.
8, no. 1, 5184, Nature Publishing Group, 2018, doi:10.1038/s41598-018-23247-z.
short: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Scientific
Reports 8 (2018).
date_created: 2018-12-11T11:46:19Z
date_published: 2018-03-26T00:00:00Z
date_updated: 2023-09-08T11:48:39Z
day: '26'
ddc:
- '571'
- '572'
department:
- _id: MaJö
doi: 10.1038/s41598-018-23247-z
external_id:
isi:
- '000428234100005'
file:
- access_level: open_access
checksum: 653fcb852f899c75b00ceee2a670d738
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:42Z
date_updated: 2020-07-14T12:46:23Z
file_id: '4831'
file_name: IST-2018-994-v1+1_2018_Joesch_A-micro-CT-based.pdf
file_size: 2359430
relation: main_file
file_date_updated: 2020-07-14T12:46:23Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '7419'
pubrep_id: '994'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A micro-CT-based method for quantitative brain lesion characterization and
electrode localization
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2018'
...
---
_id: '62'
abstract:
- lang: eng
text: Imaging is a dominant strategy for data collection in neuroscience, yielding
stacks of images that often scale to gigabytes of data for a single experiment.
Machine learning algorithms from computer vision can serve as a pair of virtual
eyes that tirelessly processes these images, automatically detecting and identifying
microstructures. Unlike learning methods, our Flexible Learning-free Reconstruction
of Imaged Neural volumes (FLoRIN) pipeline exploits structure-specific contextual
clues and requires no training. This approach generalizes across different modalities,
including serially-sectioned scanning electron microscopy (sSEM) of genetically
labeled and contrast enhanced processes, spectral confocal reflectance (SCoRe)
microscopy, and high-energy synchrotron X-ray microtomography (μCT) of large tissue
volumes. We deploy the FLoRIN pipeline on newly published and novel mouse datasets,
demonstrating the high biological fidelity of the pipeline’s reconstructions.
FLoRIN reconstructions are of sufficient quality for preliminary biological study,
for example examining the distribution and morphology of cells or extracting single
axons from functional data. Compared to existing supervised learning methods,
FLoRIN is one to two orders of magnitude faster and produces high-quality reconstructions
that are tolerant to noise and artifacts, as is shown qualitatively and quantitatively.
acknowledgement: 'Equipment was generously donated by the NVIDIA Corporation, and
made available by the National Science Foundation (NSF) through grant #CNS-1629914.
This research used resources of the Argonne Leadership Computing Facility, which
is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.'
article_number: '14247'
article_processing_charge: No
article_type: original
author:
- first_name: Ali
full_name: Shabazi, Ali
last_name: Shabazi
- first_name: Jeffery
full_name: Kinnison, Jeffery
last_name: Kinnison
- first_name: Rafael
full_name: Vescovi, Rafael
last_name: Vescovi
- first_name: Ming
full_name: Du, Ming
last_name: Du
- first_name: Robert
full_name: Hill, Robert
last_name: Hill
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Marc
full_name: Takeno, Marc
last_name: Takeno
- first_name: Hongkui
full_name: Zeng, Hongkui
last_name: Zeng
- first_name: Nuno
full_name: Da Costa, Nuno
last_name: Da Costa
- first_name: Jaime
full_name: Grutzendler, Jaime
last_name: Grutzendler
- first_name: Narayanan
full_name: Kasthuri, Narayanan
last_name: Kasthuri
- first_name: Walter
full_name: Scheirer, Walter
last_name: Scheirer
citation:
ama: Shabazi A, Kinnison J, Vescovi R, et al. Flexible learning-free segmentation
and reconstruction of neural volumes. Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-32628-3
apa: Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A., … Scheirer,
W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes.
Scientific Reports. Nature Publishing Group. https://doi.org/10.1038/s41598-018-32628-3
chicago: Shabazi, Ali, Jeffery Kinnison, Rafael Vescovi, Ming Du, Robert Hill, Maximilian
A Jösch, Marc Takeno, et al. “Flexible Learning-Free Segmentation and Reconstruction
of Neural Volumes.” Scientific Reports. Nature Publishing Group, 2018.
https://doi.org/10.1038/s41598-018-32628-3.
ieee: A. Shabazi et al., “Flexible learning-free segmentation and reconstruction
of neural volumes,” Scientific Reports, vol. 8, no. 1. Nature Publishing
Group, 2018.
ista: Shabazi A, Kinnison J, Vescovi R, Du M, Hill R, Jösch MA, Takeno M, Zeng H,
Da Costa N, Grutzendler J, Kasthuri N, Scheirer W. 2018. Flexible learning-free
segmentation and reconstruction of neural volumes. Scientific Reports. 8(1), 14247.
mla: Shabazi, Ali, et al. “Flexible Learning-Free Segmentation and Reconstruction
of Neural Volumes.” Scientific Reports, vol. 8, no. 1, 14247, Nature Publishing
Group, 2018, doi:10.1038/s41598-018-32628-3.
short: A. Shabazi, J. Kinnison, R. Vescovi, M. Du, R. Hill, M.A. Jösch, M. Takeno,
H. Zeng, N. Da Costa, J. Grutzendler, N. Kasthuri, W. Scheirer, Scientific Reports
8 (2018).
date_created: 2018-12-11T11:44:25Z
date_published: 2018-09-24T00:00:00Z
date_updated: 2023-09-11T14:02:55Z
day: '24'
ddc:
- '570'
department:
- _id: MaJö
doi: 10.1038/s41598-018-32628-3
external_id:
isi:
- '000445336600015'
file:
- access_level: open_access
checksum: 1a14ae0666b82fbaa04bef110e3f6bf2
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T12:22:24Z
date_updated: 2020-07-14T12:47:24Z
file_id: '5699'
file_name: 2018_ScientificReports_Shahbazi.pdf
file_size: 4141645
relation: main_file
file_date_updated: 2020-07-14T12:47:24Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: Scientific Reports
publication_status: published
publisher: Nature Publishing Group
publist_id: '7992'
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: http://doi.org/10.1038/s41598-018-36220-7
scopus_import: '1'
status: public
title: Flexible learning-free segmentation and reconstruction of neural volumes
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: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 8
year: '2018'
...
---
_id: '6'
abstract:
- lang: eng
text: Lesion and electrode location verification are traditionally done via histological
examination of stained brain slices, a time-consuming procedure that requires
manual estimation. Here, we describe a simple, straightforward method for quantifying
lesions and locating electrodes in the brain that is less laborious and yields
more detailed results. Whole brains are stained with osmium tetroxide, embedded
in resin, and imaged with a micro-CT scanner. The scans result in 3D digital volumes
of the brains with resolutions and virtual section thicknesses dependent on the
sample size (12-15 and 5-6 µm per voxel for rat and zebra finch brains, respectively).
Surface and deep lesions can be characterized, and single tetrodes, tetrode arrays,
electrolytic lesions, and silicon probes can also be localized. Free and proprietary
software allows experimenters to examine the sample volume from any plane and
segment the volume manually or automatically. Because this method generates whole
brain volume, lesions and electrodes can be quantified to a much higher degree
than in current methods, which will help standardize comparisons within and across
studies.
article_processing_charge: No
author:
- first_name: Javier
full_name: Masís, Javier
last_name: Masís
- first_name: David
full_name: Mankus, David
last_name: Mankus
- first_name: Steffen
full_name: Wolff, Steffen
last_name: Wolff
- first_name: Grigori
full_name: Guitchounts, Grigori
last_name: Guitchounts
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: David
full_name: Cox, David
last_name: Cox
citation:
ama: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based
method for characterising lesions and locating electrodes in small animal brains.
Journal of visualized experiments. 2018;141. doi:10.3791/58585
apa: Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., & Cox,
D. (2018). A micro-CT-based method for characterising lesions and locating electrodes
in small animal brains. Journal of Visualized Experiments. MyJove Corporation.
https://doi.org/10.3791/58585
chicago: Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian
A Jösch, and David Cox. “A Micro-CT-Based Method for Characterising Lesions and
Locating Electrodes in Small Animal Brains.” Journal of Visualized Experiments.
MyJove Corporation, 2018. https://doi.org/10.3791/58585.
ieee: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A
micro-CT-based method for characterising lesions and locating electrodes in small
animal brains,” Journal of visualized experiments, vol. 141. MyJove Corporation,
2018.
ista: Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based
method for characterising lesions and locating electrodes in small animal brains.
Journal of visualized experiments. 141.
mla: Masís, Javier, et al. “A Micro-CT-Based Method for Characterising Lesions and
Locating Electrodes in Small Animal Brains.” Journal of Visualized Experiments,
vol. 141, MyJove Corporation, 2018, doi:10.3791/58585.
short: J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Journal
of Visualized Experiments 141 (2018).
date_created: 2018-12-11T11:44:07Z
date_published: 2018-11-08T00:00:00Z
date_updated: 2023-10-17T11:49:25Z
day: '08'
department:
- _id: MaJö
doi: 10.3791/58585
external_id:
isi:
- '000456469400103'
intvolume: ' 141'
isi: 1
language:
- iso: eng
month: '11'
oa_version: None
publication: Journal of visualized experiments
publication_status: published
publisher: MyJove Corporation
publist_id: '8050'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A micro-CT-based method for characterising lesions and locating electrodes
in small animal brains
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 141
year: '2018'
...
---
_id: '740'
abstract:
- lang: eng
text: 'Developments in bioengineering and molecular biology have introduced a palette
of genetically encoded probes for identification of specific cell populations
in electron microscopy. These probes can be targeted to distinct cellular compartments,
rendering them electron dense through a subsequent chemical reaction. These electron
densities strongly increase the local contrast in samples prepared for electron
microscopy, allowing three major advances in ultrastructural mapping of circuits:
genetic identification of circuit components, targeted imaging of regions of interest
and automated analysis of the tagged circuits. Together, the gains from these
advances can decrease the time required for the analysis of targeted circuit motifs
by over two orders of magnitude. These genetic encoded tags for electron microscopy
promise to simplify the analysis of circuit motifs and become a central tool for
structure‐function studies of synaptic connections in the brain. We review the
current state‐of‐the‐art with an emphasis on connectomics, the quantitative analysis
of neuronal structures and motifs.'
article_number: e288
article_processing_charge: No
article_type: original
author:
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
citation:
ama: Shigemoto R, Jösch MA. The genetic encoded toolbox for electron microscopy
and connectomics. WIREs Developmental Biology. 2017;6(6). doi:10.1002/wdev.288
apa: Shigemoto, R., & Jösch, M. A. (2017). The genetic encoded toolbox for electron
microscopy and connectomics. WIREs Developmental Biology. Wiley-Blackwell.
https://doi.org/10.1002/wdev.288
chicago: Shigemoto, Ryuichi, and Maximilian A Jösch. “The Genetic Encoded Toolbox
for Electron Microscopy and Connectomics.” WIREs Developmental Biology.
Wiley-Blackwell, 2017. https://doi.org/10.1002/wdev.288.
ieee: R. Shigemoto and M. A. Jösch, “The genetic encoded toolbox for electron microscopy
and connectomics,” WIREs Developmental Biology, vol. 6, no. 6. Wiley-Blackwell,
2017.
ista: Shigemoto R, Jösch MA. 2017. The genetic encoded toolbox for electron microscopy
and connectomics. WIREs Developmental Biology. 6(6), e288.
mla: Shigemoto, Ryuichi, and Maximilian A. Jösch. “The Genetic Encoded Toolbox for
Electron Microscopy and Connectomics.” WIREs Developmental Biology, vol.
6, no. 6, e288, Wiley-Blackwell, 2017, doi:10.1002/wdev.288.
short: R. Shigemoto, M.A. Jösch, WIREs Developmental Biology 6 (2017).
date_created: 2018-12-11T11:48:15Z
date_published: 2017-08-11T00:00:00Z
date_updated: 2023-09-27T12:51:41Z
day: '11'
ddc:
- '570'
department:
- _id: RySh
- _id: MaJö
doi: 10.1002/wdev.288
external_id:
isi:
- '000412827400005'
pmid:
- '28800674'
file:
- access_level: open_access
checksum: a9370f27b1591773b7a0de299bc81c8c
content_type: application/pdf
creator: dernst
date_created: 2019-11-19T07:36:18Z
date_updated: 2020-07-14T12:47:57Z
file_id: '7045'
file_name: 2017_WIREs_Shigemoto.pdf
file_size: 1647787
relation: main_file
file_date_updated: 2020-07-14T12:47:57Z
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
issue: '6'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '08'
oa: 1
oa_version: Submitted Version
pmid: 1
publication: WIREs Developmental Biology
publication_identifier:
issn:
- '17597684'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6927'
quality_controlled: '1'
scopus_import: '1'
status: public
title: The genetic encoded toolbox for electron microscopy and connectomics
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 6
year: '2017'
...
---
_id: '1303'
abstract:
- lang: eng
text: In bright light, cone-photoreceptors are active and colour vision derives
from a comparison of signals in cones with different visual pigments. This comparison
begins in the retina, where certain retinal ganglion cells have 'colour-opponent'
visual responses-excited by light of one colour and suppressed by another colour.
In dim light, rod-photoreceptors are active, but colour vision is impossible because
they all use the same visual pigment. Instead, the rod signals are thought to
splice into retinal circuits at various points, in synergy with the cone signals.
Here we report a new circuit for colour vision that challenges these expectations.
A genetically identified type of mouse retinal ganglion cell called JAMB (J-RGC),
was found to have colour-opponent responses, OFF to ultraviolet (UV) light and
ON to green light. Although the mouse retina contains a green-sensitive cone,
the ON response instead originates in rods. Rods and cones both contribute to
the response over several decades of light intensity. Remarkably, the rod signal
in this circuit is antagonistic to that from cones. For rodents, this UV-green
channel may play a role in social communication, as suggested by spectral measurements
from the environment. In the human retina, all of the components for this circuit
exist as well, and its function can explain certain experiences of colour in dim
lights, such as a 'blue shift' in twilight. The discovery of this genetically
defined pathway will enable new targeted studies of colour processing in the brain.
acknowledgement: This work was supported by grants to M.M. from the NIH and to M.J.
from The International Human Frontier Science Program Organization.
author:
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Markus
full_name: Meister, Markus
last_name: Meister
citation:
ama: Jösch MA, Meister M. A neuronal circuit for colour vision based on rod-cone
opponency. Nature. 2016;532(7598):236-239. doi:10.1038/nature17158
apa: Jösch, M. A., & Meister, M. (2016). A neuronal circuit for colour vision
based on rod-cone opponency. Nature. Nature Publishing Group. https://doi.org/10.1038/nature17158
chicago: Jösch, Maximilian A, and Markus Meister. “A Neuronal Circuit for Colour
Vision Based on Rod-Cone Opponency.” Nature. Nature Publishing Group, 2016.
https://doi.org/10.1038/nature17158.
ieee: M. A. Jösch and M. Meister, “A neuronal circuit for colour vision based on
rod-cone opponency,” Nature, vol. 532, no. 7598. Nature Publishing Group,
pp. 236–239, 2016.
ista: Jösch MA, Meister M. 2016. A neuronal circuit for colour vision based on rod-cone
opponency. Nature. 532(7598), 236–239.
mla: Jösch, Maximilian A., and Markus Meister. “A Neuronal Circuit for Colour Vision
Based on Rod-Cone Opponency.” Nature, vol. 532, no. 7598, Nature Publishing
Group, 2016, pp. 236–39, doi:10.1038/nature17158.
short: M.A. Jösch, M. Meister, Nature 532 (2016) 236–239.
date_created: 2018-12-11T11:51:15Z
date_published: 2016-04-14T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '14'
doi: 10.1038/nature17158
extern: 1
intvolume: ' 532'
issue: '7598'
month: '04'
page: 236 - 239
publication: Nature
publication_status: published
publisher: Nature Publishing Group
publist_id: '5966'
quality_controlled: 0
status: public
title: A neuronal circuit for colour vision based on rod-cone opponency
type: journal_article
volume: 532
year: '2016'
...
---
_id: '1306'
abstract:
- lang: eng
text: 'Resolving patterns of synaptic connectivity in neural circuits currently
requires serial section electron microscopy. However, complete circuit reconstruction
is prohibitively slow and may not be necessary for many purposes such as comparing
neuronal structure and connectivity among multiple animals. Here, we present an
alternative strategy, targeted reconstruction of specific neuronal types. We used
viral vectors to deliver peroxidase derivatives, which catalyze production of
an electron-dense tracer, to genetically identify neurons, and developed a protocol
that enhances the electron-density of the labeled cells while retaining the quality
of the ultrastructure. The high contrast of the marked neurons enabled two innovations
that speed data acquisition: targeted high-resolution reimaging of regions selected
from rapidly-acquired lower resolution reconstruction, and an unsupervised segmentation
algorithm. This pipeline reduces imaging and reconstruction times by two orders
of magnitude, facilitating directed inquiry of circuit motifs.'
acknowledgement: 'This work was supported by NIH grant NS76467 to MM, JL and JRS,
an HHMI Collaborative Innovation Award to JRS, an IARPA contract #D16PC00002 to
WJS and by The International Human Frontier Science Program Organization fellowship
to MJ.'
author:
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: David
full_name: Mankus, David
last_name: Mankus
- first_name: Masahito
full_name: Yamagata, Masahito
last_name: Yamagata
- first_name: Ali
full_name: Shahbazi, Ali
last_name: Shahbazi
- first_name: Richard
full_name: Schalek, Richard L
last_name: Schalek
- first_name: Adi
full_name: Suissa-Peleg, Adi
last_name: Suissa Peleg
- first_name: Markus
full_name: Meister, Markus
last_name: Meister
- first_name: Jeff
full_name: Lichtman, Jeff W
last_name: Lichtman
- first_name: Walter
full_name: Scheirer, Walter J
last_name: Scheirer
- first_name: Joshua
full_name: Sanes, Joshua R
last_name: Sanes
citation:
ama: Jösch MA, Mankus D, Yamagata M, et al. Reconstruction of genetically identified
neurons imaged by serial-section electron microscopy. eLife. 2016;5(2016JULY).
doi:10.7554/eLife.15015
apa: Jösch, M. A., Mankus, D., Yamagata, M., Shahbazi, A., Schalek, R., Suissa Peleg,
A., … Sanes, J. (2016). Reconstruction of genetically identified neurons imaged
by serial-section electron microscopy. ELife. eLife Sciences Publications.
https://doi.org/10.7554/eLife.15015
chicago: Jösch, Maximilian A, David Mankus, Masahito Yamagata, Ali Shahbazi, Richard
Schalek, Adi Suissa Peleg, Markus Meister, Jeff Lichtman, Walter Scheirer, and
Joshua Sanes. “Reconstruction of Genetically Identified Neurons Imaged by Serial-Section
Electron Microscopy.” ELife. eLife Sciences Publications, 2016. https://doi.org/10.7554/eLife.15015.
ieee: M. A. Jösch et al., “Reconstruction of genetically identified neurons
imaged by serial-section electron microscopy,” eLife, vol. 5, no. 2016JULY.
eLife Sciences Publications, 2016.
ista: Jösch MA, Mankus D, Yamagata M, Shahbazi A, Schalek R, Suissa Peleg A, Meister
M, Lichtman J, Scheirer W, Sanes J. 2016. Reconstruction of genetically identified
neurons imaged by serial-section electron microscopy. eLife. 5(2016JULY).
mla: Jösch, Maximilian A., et al. “Reconstruction of Genetically Identified Neurons
Imaged by Serial-Section Electron Microscopy.” ELife, vol. 5, no. 2016JULY,
eLife Sciences Publications, 2016, doi:10.7554/eLife.15015.
short: M.A. Jösch, D. Mankus, M. Yamagata, A. Shahbazi, R. Schalek, A. Suissa Peleg,
M. Meister, J. Lichtman, W. Scheirer, J. Sanes, ELife 5 (2016).
date_created: 2018-12-11T11:51:16Z
date_published: 2016-07-07T00:00:00Z
date_updated: 2021-01-12T06:49:46Z
day: '07'
doi: 10.7554/eLife.15015
extern: 1
intvolume: ' 5'
issue: 2016JULY
month: '07'
publication: eLife
publication_status: published
publisher: eLife Sciences Publications
publist_id: '5965'
quality_controlled: 0
status: public
title: Reconstruction of genetically identified neurons imaged by serial-section electron
microscopy
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
volume: 5
year: '2016'
...
---
_id: '1304'
abstract:
- lang: eng
text: When confronted with a large-field stimulus rotating around the vertical body
axis, flies display a following behavior called "optomotor response."
As neural control elements, the large tangential horizontal system (HS) cells
of the lobula plate have been prime candidates for long. Here, we applied optogenetic
stimulation of HS cells to evaluate their behavioral role in Drosophila. To minimize
interference of the optical activation of channelrhodopsin-2 with the visual perception
of the flies, we used a bistable variant called ChR2-C128S. By applying pulses
of blue and yellow light, we first demonstrate electrophysiologically that lobula
plate tangential cells can be activated and deactivated repeatedly with no evident
change in depolarization strength over trials. We next show that selective optogenetic
activation of HS cells elicits robust yaw head movements and yaw turning responses
in fixed and tethered flying flies, respectively.
acknowledgement: 'This work was supported by the Max Planck Society. '
author:
- first_name: Väinö
full_name: Haikala, Väinö
last_name: Haikala
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
- first_name: Alex
full_name: Mauss, Alex S
last_name: Mauss
citation:
ama: Haikala V, Jösch MA, Borst A, Mauss A. Optogenetic control of fly optomotor
responses. Journal of Neuroscience. 2013;33(34):13927-13934. doi:10.1523/JNEUROSCI.0340-13.2013
apa: Haikala, V., Jösch, M. A., Borst, A., & Mauss, A. (2013). Optogenetic control
of fly optomotor responses. Journal of Neuroscience. Society for Neuroscience.
https://doi.org/10.1523/JNEUROSCI.0340-13.2013
chicago: Haikala, Väinö, Maximilian A Jösch, Alexander Borst, and Alex Mauss. “Optogenetic
Control of Fly Optomotor Responses.” Journal of Neuroscience. Society for
Neuroscience, 2013. https://doi.org/10.1523/JNEUROSCI.0340-13.2013.
ieee: V. Haikala, M. A. Jösch, A. Borst, and A. Mauss, “Optogenetic control of fly
optomotor responses,” Journal of Neuroscience, vol. 33, no. 34. Society
for Neuroscience, pp. 13927–13934, 2013.
ista: Haikala V, Jösch MA, Borst A, Mauss A. 2013. Optogenetic control of fly optomotor
responses. Journal of Neuroscience. 33(34), 13927–13934.
mla: Haikala, Väinö, et al. “Optogenetic Control of Fly Optomotor Responses.” Journal
of Neuroscience, vol. 33, no. 34, Society for Neuroscience, 2013, pp. 13927–34,
doi:10.1523/JNEUROSCI.0340-13.2013.
short: V. Haikala, M.A. Jösch, A. Borst, A. Mauss, Journal of Neuroscience 33 (2013)
13927–13934.
date_created: 2018-12-11T11:51:16Z
date_published: 2013-01-01T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '01'
doi: 10.1523/JNEUROSCI.0340-13.2013
extern: 1
intvolume: ' 33'
issue: '34'
month: '01'
page: 13927 - 13934
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5967'
quality_controlled: 0
status: public
title: Optogenetic control of fly optomotor responses
type: journal_article
volume: 33
year: '2013'
...
---
_id: '1305'
abstract:
- lang: eng
text: In the fly Drosophila melanogaster, photoreceptor input to motion vision is
split into two parallel pathways as represented by first-order interneurons L1
and L2 (Rister et al., 2007; Joesch et al., 2010). However, how these pathways
are functionally specialized remains controversial. One study (Eichner et al.,
2011) proposed that the L1-pathway evaluates only sequences of brightness increments
(ON-ON), while the L2-pathway processes exclusively brightness decrements (OFF-OFF).
Another study (Clark et al., 2011) proposed that each of the two pathways evaluates
both ON-ON and OFF-OFF sequences. To decide between these alternatives, we recorded
from motionsensitive neurons in flies in which the output from either L1 or L2
was genetically blocked. We found that blocking L1 abolishes ON-ON responses but
leaves OFF-OFF responses intact. The opposite was true, when the output from L2
was blocked. We conclude that the L1 and L2 pathways are functionally specialized
to detect ON-ON and OFF-OFF sequences, respectively.
acknowledgement: This work was supported by the Max-Planck-Society and the SFB 870
of the Deutsche Forschungsgemeinschaft.
author:
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Franz
full_name: Weber, Franz
last_name: Weber
- first_name: Hubert
full_name: Eichner, Hubert
last_name: Eichner
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
citation:
ama: Jösch MA, Weber F, Eichner H, Borst A. Functional specialization of parallel
motion detection circuits in the fly. Journal of Neuroscience. 2013;33(3):902-905.
doi:10.1523/JNEUROSCI.3374-12.2013
apa: Jösch, M. A., Weber, F., Eichner, H., & Borst, A. (2013). Functional specialization
of parallel motion detection circuits in the fly. Journal of Neuroscience.
Society for Neuroscience. https://doi.org/10.1523/JNEUROSCI.3374-12.2013
chicago: Jösch, Maximilian A, Franz Weber, Hubert Eichner, and Alexander Borst.
“Functional Specialization of Parallel Motion Detection Circuits in the Fly.”
Journal of Neuroscience. Society for Neuroscience, 2013. https://doi.org/10.1523/JNEUROSCI.3374-12.2013.
ieee: M. A. Jösch, F. Weber, H. Eichner, and A. Borst, “Functional specialization
of parallel motion detection circuits in the fly,” Journal of Neuroscience,
vol. 33, no. 3. Society for Neuroscience, pp. 902–905, 2013.
ista: Jösch MA, Weber F, Eichner H, Borst A. 2013. Functional specialization of
parallel motion detection circuits in the fly. Journal of Neuroscience. 33(3),
902–905.
mla: Jösch, Maximilian A., et al. “Functional Specialization of Parallel Motion
Detection Circuits in the Fly.” Journal of Neuroscience, vol. 33, no. 3,
Society for Neuroscience, 2013, pp. 902–05, doi:10.1523/JNEUROSCI.3374-12.2013.
short: M.A. Jösch, F. Weber, H. Eichner, A. Borst, Journal of Neuroscience 33 (2013)
902–905.
date_created: 2018-12-11T11:51:16Z
date_published: 2013-01-16T00:00:00Z
date_updated: 2021-01-12T06:49:45Z
day: '16'
doi: 10.1523/JNEUROSCI.3374-12.2013
extern: 1
intvolume: ' 33'
issue: '3'
month: '01'
page: 902 - 905
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5968'
quality_controlled: 0
status: public
title: Functional specialization of parallel motion detection circuits in the fly
type: journal_article
volume: 33
year: '2013'
...
---
_id: '1299'
abstract:
- lang: eng
text: Recent experiments have shown that motion detection in Drosophila starts with
splitting the visual input into two parallel channels encoding brightness increments
(ON) or decrements (OFF). This suggests the existence of either two (ON-ON, OFF-OFF)
or four (for all pairwise interactions) separate motion detectors. To decide between
these possibilities, we stimulated flies using sequences of ON and OFF brightness
pulses while recording from motion-sensitive tangential cells. We found direction-selective
responses to sequences of same sign (ON-ON, OFF-OFF), but not of opposite sign
(ON-OFF, OFF-ON), refuting the existence of four separate detectors. Based on
further measurements, we propose a model that reproduces a variety of additional
experimental data sets, including ones that were previously interpreted as support
for four separate detectors. Our experiments and the derived model mark an important
step in guiding further dissection of the fly motion detection circuit.
author:
- first_name: Hubert
full_name: Eichner, Hubert
last_name: Eichner
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Bettina
full_name: Schnell, Bettina
last_name: Schnell
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
citation:
ama: Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. Internal structure of the
fly elementary motion detector. Neuron. 2011;70(6):1155-1164. doi:10.1016/j.neuron.2011.03.028
apa: Eichner, H., Jösch, M. A., Schnell, B., Reiff, D., & Borst, A. (2011).
Internal structure of the fly elementary motion detector. Neuron. Elsevier.
https://doi.org/10.1016/j.neuron.2011.03.028
chicago: Eichner, Hubert, Maximilian A Jösch, Bettina Schnell, Dierk Reiff, and
Alexander Borst. “Internal Structure of the Fly Elementary Motion Detector.” Neuron.
Elsevier, 2011. https://doi.org/10.1016/j.neuron.2011.03.028.
ieee: H. Eichner, M. A. Jösch, B. Schnell, D. Reiff, and A. Borst, “Internal structure
of the fly elementary motion detector,” Neuron, vol. 70, no. 6. Elsevier,
pp. 1155–1164, 2011.
ista: Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. 2011. Internal structure
of the fly elementary motion detector. Neuron. 70(6), 1155–1164.
mla: Eichner, Hubert, et al. “Internal Structure of the Fly Elementary Motion Detector.”
Neuron, vol. 70, no. 6, Elsevier, 2011, pp. 1155–64, doi:10.1016/j.neuron.2011.03.028.
short: H. Eichner, M.A. Jösch, B. Schnell, D. Reiff, A. Borst, Neuron 70 (2011)
1155–1164.
date_created: 2018-12-11T11:51:14Z
date_published: 2011-06-23T00:00:00Z
date_updated: 2021-01-12T06:49:43Z
day: '23'
doi: 10.1016/j.neuron.2011.03.028
extern: 1
intvolume: ' 70'
issue: '6'
month: '06'
page: 1155 - 1164
publication: Neuron
publication_status: published
publisher: Elsevier
publist_id: '5969'
quality_controlled: 0
status: public
title: Internal structure of the fly elementary motion detector
type: journal_article
volume: 70
year: '2011'
...
---
_id: '1301'
abstract:
- lang: eng
text: Motion vision is essential for navigating through the environment. Due to
its genetic amenability, the fruit fly Drosophila has been serving for a lengthy
period as a model organism for studying optomotor behavior as elicited by large-field
horizontal motion. However, the neurons underlying the control of this behavior
have not been studied in Drosophila so far. Here we report the first whole cell
recordings from three cells of the horizontal system (HSN, HSE, and HSS) in the
lobula plate of Drosophila. All three HS cells are tuned to large-field horizontal
motion in a direction-selective way; they become excited by front-to-back motion
and inhibited by back-to-front motion in the ipsilateral field of view. The response
properties of HS cells such as contrast and velocity dependence are in accordance
with the correlation-type model of motion detection. Neurobiotin injection suggests
extensive coupling among ipsilateral HS cells and additional coupling to tangential
cells that have their dendrites in the contralateral hemisphere of the brain.
This connectivity scheme accounts for the complex layout of their receptive fields
and explains their sensitivity both to ipsilateral and to contralateral motion.
Thus the main response properties of Drosophila HS cells are strikingly similar
to the responses of their counterparts in the blowfly Calliphora, although we
found substantial differences with respect to their dendritic structure and connectivity.
This long-awaited functional characterization of HS cells in Drosophila provides
the basis for the future dissection of optomotor behavior and the underlying neural
circuitry by combining genetics, physiology, and behavior.
acknowledgement: This work was supported by the Max-Planck-Society and by a Human
Frontier Science Program grant to K. Ito, A. Borst, and B. Nelson.
article_processing_charge: No
article_type: original
author:
- first_name: Bettina
full_name: Schnell, Bettina
last_name: Schnell
- first_name: Maximilian A
full_name: Jösch, Maximilian A
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Friedrich
full_name: Förstner, Friedrich
last_name: Förstner
- first_name: Shamprasad
full_name: Raghu, Shamprasad
last_name: Raghu
- first_name: Hideo
full_name: Otsuna, Hideo
last_name: Otsuna
- first_name: Kei
full_name: Ito, Kei
last_name: Ito
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
- first_name: Dierk
full_name: Reiff, Dierk
last_name: Reiff
citation:
ama: Schnell B, Jösch MA, Förstner F, et al. Processing of horizontal optic flow
in three visual interneurons of the Drosophila brain. Journal of Neurophysiology.
2010;103(3):1646-1657. doi:10.1152/jn.00950.2009
apa: Schnell, B., Jösch, M. A., Förstner, F., Raghu, S., Otsuna, H., Ito, K., …
Reiff, D. (2010). Processing of horizontal optic flow in three visual interneurons
of the Drosophila brain. Journal of Neurophysiology. American Physiological
Society. https://doi.org/10.1152/jn.00950.2009
chicago: Schnell, Bettina, Maximilian A Jösch, Friedrich Förstner, Shamprasad Raghu,
Hideo Otsuna, Kei Ito, Alexander Borst, and Dierk Reiff. “Processing of Horizontal
Optic Flow in Three Visual Interneurons of the Drosophila Brain.” Journal of
Neurophysiology. American Physiological Society, 2010. https://doi.org/10.1152/jn.00950.2009.
ieee: B. Schnell et al., “Processing of horizontal optic flow in three visual
interneurons of the Drosophila brain,” Journal of Neurophysiology, vol.
103, no. 3. American Physiological Society, pp. 1646–1657, 2010.
ista: Schnell B, Jösch MA, Förstner F, Raghu S, Otsuna H, Ito K, Borst A, Reiff
D. 2010. Processing of horizontal optic flow in three visual interneurons of the
Drosophila brain. Journal of Neurophysiology. 103(3), 1646–1657.
mla: Schnell, Bettina, et al. “Processing of Horizontal Optic Flow in Three Visual
Interneurons of the Drosophila Brain.” Journal of Neurophysiology, vol.
103, no. 3, American Physiological Society, 2010, pp. 1646–57, doi:10.1152/jn.00950.2009.
short: B. Schnell, M.A. Jösch, F. Förstner, S. Raghu, H. Otsuna, K. Ito, A. Borst,
D. Reiff, Journal of Neurophysiology 103 (2010) 1646–1657.
date_created: 2018-12-11T11:51:14Z
date_published: 2010-03-01T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '01'
doi: 10.1152/jn.00950.2009
extern: '1'
external_id:
pmid:
- '20089816'
intvolume: ' 103'
issue: '3'
language:
- iso: eng
month: '03'
oa_version: None
page: 1646 - 1657
pmid: 1
publication: Journal of Neurophysiology
publication_identifier:
eissn:
- 1522-1598
issn:
- ' 0022-3077'
publication_status: published
publisher: American Physiological Society
publist_id: '5971'
quality_controlled: '1'
status: public
title: Processing of horizontal optic flow in three visual interneurons of the Drosophila
brain
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 103
year: '2010'
...
---
_id: '1300'
abstract:
- lang: eng
text: 'Motion vision is a major function of all visual systems, yet the underlying
neural mechanisms and circuits are still elusive. In the lamina, the first optic
neuropile of Drosophila melanogaster, photoreceptor signals split into five parallel
pathways, L1-L5. Here we examine how these pathways contribute to visual motion
detection by combining genetic block and reconstitution of neural activity in
different lamina cell types with whole-cell recordings from downstream motion-sensitive
neurons. We find reduced responses to moving gratings if L1 or L2 is blocked;
however, reconstitution of photoreceptor input to only L1 or L2 results in wild-type
responses. Thus, the first experiment indicates the necessity of both pathways,
whereas the second indicates sufficiency of each single pathway. This contradiction
can be explained by electrical coupling between L1 and L2, allowing for activation
of both pathways even when only one of them receives photoreceptor input. A fundamental
difference between the L1 pathway and the L2 pathway is uncovered when blocking
L1 or L2 output while presenting moving edges of positive (ON) or negative (OFF)
contrast polarity: blocking L1 eliminates the response to moving ON edges, whereas
blocking L2 eliminates the response to moving OFF edges. Thus, similar to the
segregation of photoreceptor signals in ON and OFF bipolar cell pathways in the
vertebrate retina, photoreceptor signals segregate into ON-L1 and OFF-L2 channels
in the lamina of Drosophila.'
author:
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Bettina
full_name: Schnell, Bettina
last_name: Schnell
- first_name: Shamprasad
full_name: Raghu, Shamprasad V
last_name: Raghu
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
citation:
ama: Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. ON and off pathways in Drosophila
motion vision. Nature. 2010;468(7321):300-304. doi:10.1038/nature09545
apa: Jösch, M. A., Schnell, B., Raghu, S., Reiff, D., & Borst, A. (2010). ON
and off pathways in Drosophila motion vision. Nature. Nature Publishing
Group. https://doi.org/10.1038/nature09545
chicago: Jösch, Maximilian A, Bettina Schnell, Shamprasad Raghu, Dierk Reiff, and
Alexander Borst. “ON and off Pathways in Drosophila Motion Vision.” Nature.
Nature Publishing Group, 2010. https://doi.org/10.1038/nature09545.
ieee: M. A. Jösch, B. Schnell, S. Raghu, D. Reiff, and A. Borst, “ON and off pathways
in Drosophila motion vision,” Nature, vol. 468, no. 7321. Nature Publishing
Group, pp. 300–304, 2010.
ista: Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. 2010. ON and off pathways
in Drosophila motion vision. Nature. 468(7321), 300–304.
mla: Jösch, Maximilian A., et al. “ON and off Pathways in Drosophila Motion Vision.”
Nature, vol. 468, no. 7321, Nature Publishing Group, 2010, pp. 300–04,
doi:10.1038/nature09545.
short: M.A. Jösch, B. Schnell, S. Raghu, D. Reiff, A. Borst, Nature 468 (2010) 300–304.
date_created: 2018-12-11T11:51:14Z
date_published: 2010-11-11T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '11'
doi: 10.1038/nature09545
extern: 1
intvolume: ' 468'
issue: '7321'
month: '11'
page: 300 - 304
publication: Nature
publication_status: published
publisher: Nature Publishing Group
publist_id: '5970'
quality_controlled: 0
status: public
title: ON and off pathways in Drosophila motion vision
type: journal_article
volume: 468
year: '2010'
...
---
_id: '1302'
abstract:
- lang: eng
text: 'The nervous system of seeing animals derives information about optic flow
in two subsequent steps. First, local motion vectors are calculated from moving
retinal images, and second, the spatial distribution of these vectors is analyzed
on the dendrites of large downstream neurons. In dipteran flies, this second step
relies on a set of motion-sensitive lobula plate tangential cells (LPTCs), which
have been studied in great detail in large fly species. Yet, studies on neurons
that convey information to LPTCs and neuroanatomical investigations that enable
a mechanistic understanding of the underlying dendritic computations in LPTCs
are rare. We investigated the subcellular distribution of nicotinic acetylcholine
receptors (nAChRs) on two sets of LPTCs: vertical system (VS) and horizontal system
(HS) cells in Drosophila melanogaster. In this paper, we describe that both cell
types express Dα7-type nAChR subunits specifically on higher order dendritic branches,
similar to the expression of gamma aminobutyric acid (GABA) receptors. These findings
support a model in which directional selectivity of LPTCs is achieved by the dendritic
integration of excitatory, cholinergic, and inhibitory GABA-ergic input from local
motion detectors with opposite preferred direction. Nonetheless, whole-cell recordings
in mutant flies without Dα7 nAChRs revealed that direction selectivity of VS and
HS cells is largely retained. In addition, mutant LPTCs were responsive to acetylcholine
and remaining nAChR receptors were labeled by α-bungarotoxin. These results in
LPTCs with genetically manipulated excitatory input synapses suggest a robust
cellular implementation of dendritic processing that warrants direction selectivity.
The underlying mechanism that ensures appropriate nAChR-mediated synaptic currents
and the functional implications of separate sets or heteromultimeric nAChRs can
now be addressed in this system.'
author:
- first_name: Shamprasad
full_name: Raghu, Shamprasad V
last_name: Raghu
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Stephan
full_name: Sigrist, Stephan J
last_name: Sigrist
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
citation:
ama: 'Raghu S, Jösch MA, Sigrist S, Borst A, Reiff D. Synaptic organization of lobula
plate tangential cells in Drosophila: Dα7 cholinergic receptors. Journal of
Neurogenetics. 2009;23(1-2):200-209. doi:10.1080/01677060802471684'
apa: 'Raghu, S., Jösch, M. A., Sigrist, S., Borst, A., & Reiff, D. (2009). Synaptic
organization of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors.
Journal of Neurogenetics. Informa Healthcare. https://doi.org/10.1080/01677060802471684'
chicago: 'Raghu, Shamprasad, Maximilian A Jösch, Stephan Sigrist, Alexander Borst,
and Dierk Reiff. “Synaptic Organization of Lobula Plate Tangential Cells in Drosophila:
Dα7 Cholinergic Receptors.” Journal of Neurogenetics. Informa Healthcare,
2009. https://doi.org/10.1080/01677060802471684.'
ieee: 'S. Raghu, M. A. Jösch, S. Sigrist, A. Borst, and D. Reiff, “Synaptic organization
of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors,” Journal
of Neurogenetics, vol. 23, no. 1–2. Informa Healthcare, pp. 200–209, 2009.'
ista: 'Raghu S, Jösch MA, Sigrist S, Borst A, Reiff D. 2009. Synaptic organization
of lobula plate tangential cells in Drosophila: Dα7 cholinergic receptors. Journal
of Neurogenetics. 23(1–2), 200–209.'
mla: 'Raghu, Shamprasad, et al. “Synaptic Organization of Lobula Plate Tangential
Cells in Drosophila: Dα7 Cholinergic Receptors.” Journal of Neurogenetics,
vol. 23, no. 1–2, Informa Healthcare, 2009, pp. 200–09, doi:10.1080/01677060802471684.'
short: S. Raghu, M.A. Jösch, S. Sigrist, A. Borst, D. Reiff, Journal of Neurogenetics
23 (2009) 200–209.
date_created: 2018-12-11T11:51:15Z
date_published: 2009-03-01T00:00:00Z
date_updated: 2021-01-12T06:49:44Z
day: '01'
doi: 10.1080/01677060802471684
extern: 1
intvolume: ' 23'
issue: 1-2
month: '03'
page: 200 - 209
publication: Journal of Neurogenetics
publication_status: published
publisher: Informa Healthcare
publist_id: '5972'
quality_controlled: 0
status: public
title: 'Synaptic organization of lobula plate tangential cells in Drosophila: Dα7
cholinergic receptors'
type: journal_article
volume: 23
year: '2009'
...
---
_id: '1296'
abstract:
- lang: eng
text: The crystalline-like structure of the optic lobes of the fruit fly Drosophila
melanogaster has made them a model system for the study of neuronal cell-fate
determination, axonal path finding, and target selection. For functional studies,
however, the small size of the constituting visual interneurons has so far presented
a formidable barrier. We have overcome this problem by establishing in vivo whole-cell
recordings [1] from genetically targeted visual interneurons of Drosophila. Here,
we describe the response properties of six motion-sensitive large-field neurons
in the lobula plate that form a network consisting of individually identifiable,
directionally selective cells most sensitive to vertical image motion (VS cells
[2, 3]). Individual VS cell responses to visual motion stimuli exhibit all the
characteristics that are indicative of presynaptic input from elementary motion
detectors of the correlation type [4, 5]. Different VS cells possess distinct
receptive fields that are arranged sequentially along the eye's azimuth, corresponding
to their characteristic cellular morphology and position within the retinotopically
organized lobula plate. In addition, lateral connections between individual VS
cells cause strongly overlapping receptive fields that are wider than expected
from their dendritic input. Our results suggest that motion vision in different
dipteran fly species is accomplished in similar circuitries and according to common
algorithmic rules. The underlying neural mechanisms of population coding within
the VS cell network and of elementary motion detection, respectively, can now
be analyzed by the combination of electrophysiology and genetic intervention in
Drosophila.
acknowledgement: This work was supported by the Max-Planck-Society and by a Human
Frontier Science Program (HFSP) grant to K. Ito, A.B., and B. Nelson.
author:
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Johannes
full_name: Plett, Johannes
last_name: Plett
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
citation:
ama: Jösch MA, Plett J, Borst A, Reiff D. Response properties of motion sensitive
visual interneurons in the Lobula plate of Drosophila melanogaster. Current
Biology. 2008;18(5):368-374. doi:10.1016/j.cub.2008.02.022
apa: Jösch, M. A., Plett, J., Borst, A., & Reiff, D. (2008). Response properties
of motion sensitive visual interneurons in the Lobula plate of Drosophila melanogaster.
Current Biology. Cell Press. https://doi.org/10.1016/j.cub.2008.02.022
chicago: Jösch, Maximilian A, Johannes Plett, Alexander Borst, and Dierk Reiff.
“Response Properties of Motion Sensitive Visual Interneurons in the Lobula Plate
of Drosophila Melanogaster.” Current Biology. Cell Press, 2008. https://doi.org/10.1016/j.cub.2008.02.022.
ieee: M. A. Jösch, J. Plett, A. Borst, and D. Reiff, “Response properties of motion
sensitive visual interneurons in the Lobula plate of Drosophila melanogaster,”
Current Biology, vol. 18, no. 5. Cell Press, pp. 368–374, 2008.
ista: Jösch MA, Plett J, Borst A, Reiff D. 2008. Response properties of motion sensitive
visual interneurons in the Lobula plate of Drosophila melanogaster. Current Biology.
18(5), 368–374.
mla: Jösch, Maximilian A., et al. “Response Properties of Motion Sensitive Visual
Interneurons in the Lobula Plate of Drosophila Melanogaster.” Current Biology,
vol. 18, no. 5, Cell Press, 2008, pp. 368–74, doi:10.1016/j.cub.2008.02.022.
short: M.A. Jösch, J. Plett, A. Borst, D. Reiff, Current Biology 18 (2008) 368–374.
date_created: 2018-12-11T11:51:13Z
date_published: 2008-03-11T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '11'
doi: 10.1016/j.cub.2008.02.022
extern: 1
intvolume: ' 18'
issue: '5'
month: '03'
page: 368 - 374
publication: Current Biology
publication_status: published
publisher: Cell Press
publist_id: '5973'
quality_controlled: 0
status: public
title: Response properties of motion sensitive visual interneurons in the Lobula plate
of Drosophila melanogaster
type: journal_article
volume: 18
year: '2008'
...
---
_id: '1297'
abstract:
- lang: eng
text: In flies, the large tangential cells of the lobula plate represent an important
processing center for visual navigation based on optic flow. Although the visual
response properties of these cells have been well studied in blowflies, information
on their synaptic organization is mostly lacking. Here we study the distribution
of presynaptic release and postsynaptic inhibitory sites in the same set of cells
in Drosophila melanogaster. By making use of transgenic tools and immunohistochemistry,
our results suggest that HS and VS cells of Drosophila express γ-aminobutyric
acid (GABA) receptors in their dendritic region within the lobula plate, thus
being postsynaptic to inhibitory input there. At their axon terminals in the protocerebrum,
both cell types express synaptobrevin, suggesting the presence of presynaptic
specializations there. HS- and VS-cell terminals additionally show evidence for
postsynaptic GABAergic input, superimposed on this synaptic polarity. Our findings
are in line with the general circuit for visual motion detection and receptive
field properties as postulated from electrophysiological and optical recordings
in blowflies, suggesting a similar functional organization of lobula plate tangential
cells in the two species.
author:
- first_name: Shamprasad
full_name: Raghu, Shamprasad V
last_name: Raghu
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
citation:
ama: 'Raghu S, Jösch MA, Borst A, Reiff D. Synaptic organization of lobula plate
tangential cells in Drosophila: γ-aminobutyric acid receptors and chemical release
sites. Journal of Comparative Neurology. 2007;502(4):598-610. doi:10.1002/cne.21319'
apa: 'Raghu, S., Jösch, M. A., Borst, A., & Reiff, D. (2007). Synaptic organization
of lobula plate tangential cells in Drosophila: γ-aminobutyric acid receptors
and chemical release sites. Journal of Comparative Neurology. Wiley-Blackwell.
https://doi.org/10.1002/cne.21319'
chicago: 'Raghu, Shamprasad, Maximilian A Jösch, Alexander Borst, and Dierk Reiff.
“Synaptic Organization of Lobula Plate Tangential Cells in Drosophila: γ-Aminobutyric
Acid Receptors and Chemical Release Sites.” Journal of Comparative Neurology.
Wiley-Blackwell, 2007. https://doi.org/10.1002/cne.21319.'
ieee: 'S. Raghu, M. A. Jösch, A. Borst, and D. Reiff, “Synaptic organization of
lobula plate tangential cells in Drosophila: γ-aminobutyric acid receptors and
chemical release sites,” Journal of Comparative Neurology, vol. 502, no.
4. Wiley-Blackwell, pp. 598–610, 2007.'
ista: 'Raghu S, Jösch MA, Borst A, Reiff D. 2007. Synaptic organization of lobula
plate tangential cells in Drosophila: γ-aminobutyric acid receptors and chemical
release sites. Journal of Comparative Neurology. 502(4), 598–610.'
mla: 'Raghu, Shamprasad, et al. “Synaptic Organization of Lobula Plate Tangential
Cells in Drosophila: γ-Aminobutyric Acid Receptors and Chemical Release Sites.”
Journal of Comparative Neurology, vol. 502, no. 4, Wiley-Blackwell, 2007,
pp. 598–610, doi:10.1002/cne.21319.'
short: S. Raghu, M.A. Jösch, A. Borst, D. Reiff, Journal of Comparative Neurology
502 (2007) 598–610.
date_created: 2018-12-11T11:51:13Z
date_published: 2007-06-01T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '01'
doi: 10.1002/cne.21319
extern: 1
intvolume: ' 502'
issue: '4'
month: '06'
page: 598 - 610
publication: Journal of Comparative Neurology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5974'
quality_controlled: 0
status: public
title: 'Synaptic organization of lobula plate tangential cells in Drosophila: γ-aminobutyric
acid receptors and chemical release sites'
type: journal_article
volume: 502
year: '2007'
...
---
_id: '1298'
abstract:
- lang: eng
text: Genetically encoded fluorescent probes of neural activity represent new promising
tools for systems neuroscience. Here, we present a comparative in vivo analysis
of 10 different genetically encoded calcium indicators, as well as the pH-sensitive
synapto-pHluorin. We analyzed their fluorescence changes in presynaptic boutons
of the Drosophila larval neuromuscular junction. Robust neural activity did not
result in any or noteworthy fluorescence changes when Flash-Pericam, Camgaroo-1,
and Camgaroo-2 were expressed. However, calculated on the raw data, fractional
fluorescence changes up to 18% were reported by synapto-pHluorin, Yellow Cameleon
2.0, 2.3, and 3.3, Inverse-Pericam, GCaMP1.3, GCaMP1.6, and the troponin C-based
calcium sensor TN-L15. The response characteristics of all of these indicators
differed considerably from each other, with GCaMP1.6 reporting high rates of neural
activity with the largest and fastest fluorescence changes. However, GCaMP1.6
suffered from photobleaching, whereas the fluorescence signals of the double-chromophore
indicators were in general smaller but more photostable and reproducible, with
TN-L15 showing the fastest rise of the signals at lower activity rates. We show
for GCaMP1.3 and YC3.3 that an expanded range of neural activity evoked fairly
linear fluorescence changes and a corresponding linear increase in the signal-to-noise
ratio (SNR). The expression level of the indicator biased the signal kinetics
and SNR, whereas the signal amplitude was independent. The presented data will
be useful for in vivo experiments with respect to the selection of an appropriate
indicator, as well as for the correct interpretation of the optical signals.
acknowledgement: This work was supported by the Max-Planck-Society.
author:
- first_name: Dierk
full_name: Reiff, Dierk F
last_name: Reiff
- first_name: Alexandra
full_name: Ihring, Alexandra
last_name: Ihring
- first_name: Giovanna
full_name: Guerrero, Giovanna
last_name: Guerrero
- first_name: Ehud
full_name: Isacoff, Ehud Y
last_name: Isacoff
- first_name: Maximilian A
full_name: Maximilian Jösch
id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
last_name: Jösch
orcid: 0000-0002-3937-1330
- first_name: Junichi
full_name: Nakai, Junichi
last_name: Nakai
- first_name: Alexander
full_name: Borst, Alexander
last_name: Borst
citation:
ama: Reiff D, Ihring A, Guerrero G, et al. In vivo performance of genetically encoded
indicators of neural activity in flies. Journal of Neuroscience. 2005;25(19):4766-4778.
doi:10.1523/JNEUROSCI.4900-04.2005
apa: Reiff, D., Ihring, A., Guerrero, G., Isacoff, E., Jösch, M. A., Nakai, J.,
& Borst, A. (2005). In vivo performance of genetically encoded indicators
of neural activity in flies. Journal of Neuroscience. Society for Neuroscience.
https://doi.org/10.1523/JNEUROSCI.4900-04.2005
chicago: Reiff, Dierk, Alexandra Ihring, Giovanna Guerrero, Ehud Isacoff, Maximilian
A Jösch, Junichi Nakai, and Alexander Borst. “In Vivo Performance of Genetically
Encoded Indicators of Neural Activity in Flies.” Journal of Neuroscience.
Society for Neuroscience, 2005. https://doi.org/10.1523/JNEUROSCI.4900-04.2005.
ieee: D. Reiff et al., “In vivo performance of genetically encoded indicators
of neural activity in flies,” Journal of Neuroscience, vol. 25, no. 19.
Society for Neuroscience, pp. 4766–4778, 2005.
ista: Reiff D, Ihring A, Guerrero G, Isacoff E, Jösch MA, Nakai J, Borst A. 2005.
In vivo performance of genetically encoded indicators of neural activity in flies.
Journal of Neuroscience. 25(19), 4766–4778.
mla: Reiff, Dierk, et al. “In Vivo Performance of Genetically Encoded Indicators
of Neural Activity in Flies.” Journal of Neuroscience, vol. 25, no. 19,
Society for Neuroscience, 2005, pp. 4766–78, doi:10.1523/JNEUROSCI.4900-04.2005.
short: D. Reiff, A. Ihring, G. Guerrero, E. Isacoff, M.A. Jösch, J. Nakai, A. Borst,
Journal of Neuroscience 25 (2005) 4766–4778.
date_created: 2018-12-11T11:51:13Z
date_published: 2005-03-11T00:00:00Z
date_updated: 2021-01-12T06:49:42Z
day: '11'
doi: 10.1523/JNEUROSCI.4900-04.2005
extern: 1
intvolume: ' 25'
issue: '19'
month: '03'
page: 4766 - 4778
publication: Journal of Neuroscience
publication_status: published
publisher: Society for Neuroscience
publist_id: '5975'
quality_controlled: 0
status: public
title: In vivo performance of genetically encoded indicators of neural activity in
flies
type: journal_article
volume: 25
year: '2005'
...