---
OA_place: publisher
OA_type: hybrid
_id: '19076'
abstract:
- lang: eng
  text: For accurate perception and motor control, an animal must distinguish between
    sensory experiences elicited by external stimuli and those elicited by its own
    actions. The diversity of behaviors and their complex influences on the senses
    make this distinction challenging. Here, we uncover an action–cue hub that coordinates
    motor commands with visual processing in the brain’s first visual relay. We show
    that the ventral lateral geniculate nucleus (vLGN) acts as a corollary discharge
    center, integrating visual translational optic flow signals with motor copies
    from saccades, locomotion and pupil dynamics. The vLGN relays these signals to
    correct action-specific visual distortions and to refine perception, as shown
    for the superior colliculus and in a depth-estimation task. Simultaneously, brain-wide
    vLGN projections drive corrective actions necessary for accurate visuomotor control.
    Our results reveal an extended corollary discharge architecture that refines early
    visual transformations and coordinates actions via a distributed hub-and-spoke
    network to enable visual perception during action.
acknowledged_ssus:
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: Bio
acknowledgement: We thank Y. Ben-Simon for generously making viral vectors for retrograde
  tracing available, as well as J. Watson and F. Marr for reagents. We also thank
  R. Shigemoto, W. Młynarski and members of the Neuroethology group for their comments
  on the manuscript and L. Burnett for her schematic drawings. This research was supported
  by the Scientific Service Units of ISTA through resources provided by Scientific
  Computing, the Preclinical Facility, the Lab Support Facility and the Imaging and
  Optics Facility, in particular F. Lange, M. Schunn and T. Asenov. This work was
  supported by European Research Council Starting Grant no. 756502 (M.J.) and European
  Research Council Consolidator Grant no. 101086580 (M.J.); and EMBO ALTF grant no.
  1098-2017 (A.S.) and Human Frontiers Science Program grant no. LT000256/2018-L (A.S.).
  Open access funding provided by Institute of Science and Technology (IST Austria).
article_number: '7278'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Tomas A
  full_name: Vega Zuniga, Tomas A
  id: 2E7C4E78-F248-11E8-B48F-1D18A9856A87
  last_name: Vega Zuniga
- 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: Peter
  full_name: Koppensteiner, Peter
  id: 3B8B25A8-F248-11E8-B48F-1D18A9856A87
  last_name: Koppensteiner
  orcid: 0000-0002-3509-1948
- first_name: Florian
  full_name: Schmidt, Florian
  id: A2EF226A-AF19-11E9-924C-0525E6697425
  last_name: Schmidt
- 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: Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA.
    A thalamic hub-and-spoke network enables visual perception during action by coordinating
    visuomotor dynamics. <i>Nature Neuroscience</i>. 2025;28. doi:<a href="https://doi.org/10.1038/s41593-025-01874-w">10.1038/s41593-025-01874-w</a>
  apa: Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt,
    F., &#38; Jösch, M. A. (2025). A thalamic hub-and-spoke network enables visual
    perception during action by coordinating visuomotor dynamics. <i>Nature Neuroscience</i>.
    Springer Nature. <a href="https://doi.org/10.1038/s41593-025-01874-w">https://doi.org/10.1038/s41593-025-01874-w</a>
  chicago: Vega Zuniga, Tomas A, Anton L Sumser, Olga Symonova, Peter Koppensteiner,
    Florian Schmidt, and Maximilian A Jösch. “A Thalamic Hub-and-Spoke Network Enables
    Visual Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature
    Neuroscience</i>. Springer Nature, 2025. <a href="https://doi.org/10.1038/s41593-025-01874-w">https://doi.org/10.1038/s41593-025-01874-w</a>.
  ieee: T. A. Vega Zuniga, A. L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt,
    and M. A. Jösch, “A thalamic hub-and-spoke network enables visual perception during
    action by coordinating visuomotor dynamics,” <i>Nature Neuroscience</i>, vol.
    28. Springer Nature, 2025.
  ista: Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA.
    2025. A thalamic hub-and-spoke network enables visual perception during action
    by coordinating visuomotor dynamics. Nature Neuroscience. 28, 7278.
  mla: Vega Zuniga, Tomas A., et al. “A Thalamic Hub-and-Spoke Network Enables Visual
    Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature Neuroscience</i>,
    vol. 28, 7278, Springer Nature, 2025, doi:<a href="https://doi.org/10.1038/s41593-025-01874-w">10.1038/s41593-025-01874-w</a>.
  short: T.A. Vega Zuniga, A.L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt,
    M.A. Jösch, Nature Neuroscience 28 (2025).
corr_author: '1'
date_created: 2025-02-23T23:01:58Z
date_published: 2025-03-01T00:00:00Z
date_updated: 2025-09-30T10:40:49Z
day: '01'
department:
- _id: MaJö
- _id: PreCl
doi: 10.1038/s41593-025-01874-w
ec_funded: 1
external_id:
  isi:
  - '001416866800001'
  pmid:
  - '39930095'
has_accepted_license: '1'
intvolume: '        28'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1038/s41593-025-01874-w
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '756502'
  name: Circuits of Visual Attention
- _id: bdaf81a8-d553-11ed-ba76-c95961984540
  grant_number: '101086580'
  name: 'Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses'
- _id: 264FEA02-B435-11E9-9278-68D0E5697425
  grant_number: ALTF 1098-2017
  name: Connecting sensory with motor processing in the superior colliculus
- _id: 266D407A-B435-11E9-9278-68D0E5697425
  grant_number: LT000256
  name: Neuronal networks of salience and spatial detection in the murine superior
    colliculus
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on ISTA Website
    relation: press_release
    url: https://ista.ac.at/en/news/high-tech-video-optimization-in-our-brain/
  record:
  - id: '18579'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: A thalamic hub-and-spoke network enables visual perception during action by
  coordinating visuomotor dynamics
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: 28
year: '2025'
...
---
_id: '14887'
abstract:
- lang: eng
  text: 'Episodic memories are encoded by experience-activated neuronal ensembles
    that remain necessary and sufficient for recall. However, the temporal evolution
    of memory engrams after initial encoding is unclear. In this study, we employed
    computational and experimental approaches to examine how the neural composition
    and selectivity of engrams change with memory consolidation. Our spiking neural
    network model yielded testable predictions: memories transition from unselective
    to selective as neurons drop out of and drop into engrams; inhibitory activity
    during recall is essential for memory selectivity; and inhibitory synaptic plasticity
    during memory consolidation is critical for engrams to become selective. Using
    activity-dependent labeling, longitudinal calcium imaging and a combination of
    optogenetic and chemogenetic manipulations in mouse dentate gyrus, we conducted
    contextual fear conditioning experiments that supported our model’s predictions.
    Our results reveal that memory engrams are dynamic and that changes in engram
    composition mediated by inhibitory plasticity are crucial for the emergence of
    memory selectivity.'
acknowledgement: We thank S. Erisken from Inscopix for helping us establish in vivo
  one-photon calcium imaging for this work. We thank K. Su at Tsinghua University
  for assistance with this work. This work was funded by the President’s PhD Scholarship
  from Imperial College London (D.F.T.), the Wellcome Trust (225412/Z/22/Z) (S.S.),
  the Biotechnology and Biological Sciences Research Council (BB/N013956/1 and BB/N019008/1)
  (C.C.), the Wellcome Trust (200790/Z/16/Z) (C.C.), the Simons Foundation (564408)
  (C.C.) and the Engineering and Physical Sciences Research Council (EP/R035806/1)
  (CC). The School of Life Sciences and the IDG/McGovern Institute for Brain Research
  supported Y.Z. The Warren Alpert Distinguished Scholar Award and National Institutes
  of Health 1K99NS125131-01 supported D.S.R.
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Douglas
  full_name: Feitosa Tomé, Douglas
  id: 0eed2d40-3d48-11ec-8d38-f789cc2e40b2
  last_name: Feitosa Tomé
- first_name: Ying
  full_name: Zhang, Ying
  last_name: Zhang
- first_name: Tomomi
  full_name: Aida, Tomomi
  last_name: Aida
- first_name: Olivia
  full_name: Mosto, Olivia
  last_name: Mosto
- first_name: Yifeng
  full_name: Lu, Yifeng
  last_name: Lu
- first_name: Mandy
  full_name: Chen, Mandy
  last_name: Chen
- first_name: Sadra
  full_name: Sadeh, Sadra
  last_name: Sadeh
- first_name: Dheeraj S.
  full_name: Roy, Dheeraj S.
  last_name: Roy
- first_name: Claudia
  full_name: Clopath, Claudia
  last_name: Clopath
citation:
  ama: Feitosa Tomé D, Zhang Y, Aida T, et al. Dynamic and selective engrams emerge
    with memory consolidation. <i>Nature Neuroscience</i>. 2024;27:561-572. doi:<a
    href="https://doi.org/10.1038/s41593-023-01551-w">10.1038/s41593-023-01551-w</a>
  apa: Feitosa Tomé, D., Zhang, Y., Aida, T., Mosto, O., Lu, Y., Chen, M., … Clopath,
    C. (2024). Dynamic and selective engrams emerge with memory consolidation. <i>Nature
    Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-023-01551-w">https://doi.org/10.1038/s41593-023-01551-w</a>
  chicago: Feitosa Tomé, Douglas, Ying Zhang, Tomomi Aida, Olivia Mosto, Yifeng Lu,
    Mandy Chen, Sadra Sadeh, Dheeraj S. Roy, and Claudia Clopath. “Dynamic and Selective
    Engrams Emerge with Memory Consolidation.” <i>Nature Neuroscience</i>. Springer
    Nature, 2024. <a href="https://doi.org/10.1038/s41593-023-01551-w">https://doi.org/10.1038/s41593-023-01551-w</a>.
  ieee: D. Feitosa Tomé <i>et al.</i>, “Dynamic and selective engrams emerge with
    memory consolidation,” <i>Nature Neuroscience</i>, vol. 27. Springer Nature, pp.
    561–572, 2024.
  ista: Feitosa Tomé D, Zhang Y, Aida T, Mosto O, Lu Y, Chen M, Sadeh S, Roy DS, Clopath
    C. 2024. Dynamic and selective engrams emerge with memory consolidation. Nature
    Neuroscience. 27, 561–572.
  mla: Feitosa Tomé, Douglas, et al. “Dynamic and Selective Engrams Emerge with Memory
    Consolidation.” <i>Nature Neuroscience</i>, vol. 27, Springer Nature, 2024, pp.
    561–72, doi:<a href="https://doi.org/10.1038/s41593-023-01551-w">10.1038/s41593-023-01551-w</a>.
  short: D. Feitosa Tomé, Y. Zhang, T. Aida, O. Mosto, Y. Lu, M. Chen, S. Sadeh, D.S.
    Roy, C. Clopath, Nature Neuroscience 27 (2024) 561–572.
corr_author: '1'
date_created: 2024-01-28T23:01:43Z
date_published: 2024-03-01T00:00:00Z
date_updated: 2025-04-23T07:40:21Z
day: '01'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1038/s41593-023-01551-w
external_id:
  isi:
  - '001145442300001'
  pmid:
  - '38243089'
file:
- access_level: open_access
  checksum: c509fcad757e4c1c153e857e55c20083
  content_type: application/pdf
  creator: dernst
  date_created: 2024-07-16T12:15:19Z
  date_updated: 2024-07-16T12:15:19Z
  file_id: '17268'
  file_name: 2024_NatureNeuroscience_FeitosaTome.pdf
  file_size: 15830346
  relation: main_file
  success: 1
file_date_updated: 2024-07-16T12:15:19Z
has_accepted_license: '1'
intvolume: '        27'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 561-572
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '14892'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: Dynamic and selective engrams emerge with memory consolidation
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: 27
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '15171'
abstract:
- lang: eng
  text: The brain’s functionality is developed and maintained through synaptic plasticity.
    As synapses undergo plasticity, they also affect each other. The nature of such
    ‘co-dependency’ is difficult to disentangle experimentally, because multiple synapses
    must be monitored simultaneously. To help understand the experimentally observed
    phenomena, we introduce a framework that formalizes synaptic co-dependency between
    different connection types. The resulting model explains how inhibition can gate
    excitatory plasticity while neighboring excitatory–excitatory interactions determine
    the strength of long-term potentiation. Furthermore, we show how the interplay
    between excitatory and inhibitory synapses can account for the quick rise and
    long-term stability of a variety of synaptic weight profiles, such as orientation
    tuning and dendritic clustering of co-active synapses. In recurrent neuronal networks,
    co-dependent plasticity produces rich and stable motor cortex-like dynamics with
    high input sensitivity. Our results suggest an essential role for the neighborly
    synaptic interaction during learning, connecting micro-level physiology with network-wide
    phenomena.
acknowledgement: We thank C. Currin, B. Podlaski and the members of the Vogels group
  for fruitful discussions. E.J.A. and T.P.V. were supported by a Research Project
  Grant from the Leverhulme Trust (RPG-2016-446; TPV), a Sir Henry Dale Fellowship
  from the Wellcome Trust and the Royal Society (WT100000; T.P.V.), a Wellcome Trust
  Senior Research Fellowship (214316/Z/18/Z; T.P.V.) and a European Research Council
  Consolidator Grant (SYNAPSEEK, 819603; T.P.V.). For the purpose of open access,
  the authors have applied a CC BY public copyright license to any author accepted
  manuscript version arising from this submission. Open access funding provided by
  University of Basel.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Everton J.
  full_name: Agnes, Everton J.
  last_name: Agnes
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
citation:
  ama: Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts
    for quick, stable and long-lasting memories in biological networks. <i>Nature
    Neuroscience</i>. 2024;27:964-974. doi:<a href="https://doi.org/10.1038/s41593-024-01597-4">10.1038/s41593-024-01597-4</a>
  apa: Agnes, E. J., &#38; Vogels, T. P. (2024). Co-dependent excitatory and inhibitory
    plasticity accounts for quick, stable and long-lasting memories in biological
    networks. <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-024-01597-4">https://doi.org/10.1038/s41593-024-01597-4</a>
  chicago: Agnes, Everton J., and Tim P Vogels. “Co-Dependent Excitatory and Inhibitory
    Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
    Networks.” <i>Nature Neuroscience</i>. Springer Nature, 2024. <a href="https://doi.org/10.1038/s41593-024-01597-4">https://doi.org/10.1038/s41593-024-01597-4</a>.
  ieee: E. J. Agnes and T. P. Vogels, “Co-dependent excitatory and inhibitory plasticity
    accounts for quick, stable and long-lasting memories in biological networks,”
    <i>Nature Neuroscience</i>, vol. 27. Springer Nature, pp. 964–974, 2024.
  ista: Agnes EJ, Vogels TP. 2024. Co-dependent excitatory and inhibitory plasticity
    accounts for quick, stable and long-lasting memories in biological networks. Nature
    Neuroscience. 27, 964–974.
  mla: Agnes, Everton J., and Tim P. Vogels. “Co-Dependent Excitatory and Inhibitory
    Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological
    Networks.” <i>Nature Neuroscience</i>, vol. 27, Springer Nature, 2024, pp. 964–74,
    doi:<a href="https://doi.org/10.1038/s41593-024-01597-4">10.1038/s41593-024-01597-4</a>.
  short: E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974.
date_created: 2024-03-24T23:01:00Z
date_published: 2024-05-01T00:00:00Z
date_updated: 2025-09-04T13:06:06Z
day: '01'
ddc:
- '570'
department:
- _id: TiVo
doi: 10.1038/s41593-024-01597-4
ec_funded: 1
external_id:
  isi:
  - '001190081400001'
  pmid:
  - '38509348 '
file:
- access_level: open_access
  checksum: dfca68a24749575b912b3a78a7de4516
  content_type: application/pdf
  creator: dernst
  date_created: 2025-06-25T08:45:32Z
  date_updated: 2025-06-25T08:45:32Z
  file_id: '19902'
  file_name: 2025_NatureNeuroscience_Agnes.pdf
  file_size: 10508018
  relation: main_file
  success: 1
file_date_updated: 2025-06-25T08:45:32Z
has_accepted_license: '1'
intvolume: '        27'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 964-974
pmid: 1
project:
- _id: 0aacfa84-070f-11eb-9043-d7eb2c709234
  call_identifier: H2020
  grant_number: '819603'
  name: Learning the shape of synaptic plasticity rules for neuronal architectures
    and function through machine learning.
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Co-dependent excitatory and inhibitory plasticity accounts for quick, stable
  and long-lasting memories in biological networks
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: 27
year: '2024'
...
---
_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. <i>Nature
    Neuroscience</i>. 2023;26:606-614. doi:<a href="https://doi.org/10.1038/s41593-023-01280-0">10.1038/s41593-023-01280-0</a>
  apa: Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38;
    Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization
    of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-023-01280-0">https://doi.org/10.1038/s41593-023-01280-0</a>
  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.” <i>Nature Neuroscience</i>. Springer Nature,
    2023. <a href="https://doi.org/10.1038/s41593-023-01280-0">https://doi.org/10.1038/s41593-023-01280-0</a>.
  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,” <i>Nature Neuroscience</i>, 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.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023,
    pp. 606–14, doi:<a href="https://doi.org/10.1038/s41593-023-01280-0">10.1038/s41593-023-01280-0</a>.
  short: D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch,
    Nature Neuroscience 26 (2023) 606–614.
corr_author: '1'
date_created: 2023-01-23T14:14:19Z
date_published: 2023-04-01T00:00:00Z
date_updated: 2026-04-22T22:30:29Z
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'
file:
- access_level: open_access
  checksum: a33d91e398e548f34003170e10988368
  content_type: application/pdf
  creator: dernst
  date_created: 2023-10-04T11:40:51Z
  date_updated: 2023-10-04T11:40:51Z
  file_id: '14395'
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  file_size: 6144866
  relation: main_file
  success: 1
file_date_updated: 2023-10-04T11:40:51Z
has_accepted_license: '1'
intvolume: '        26'
isi: 1
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 606-614
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 626c45b5-2b32-11ec-9570-e509828c1ba6
  grant_number: P34015
  name: Efficient coding with biophysical realism
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
  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:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
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scopus_import: '1'
status: public
title: Panoramic visual statistics shape retina-wide organization of receptive fields
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: 26
year: '2023'
...
---
_id: '12244'
abstract:
- lang: eng
  text: Environmental cues influence the highly dynamic morphology of microglia. Strategies
    to characterize these changes usually involve user-selected morphometric features,
    which preclude the identification of a spectrum of context-dependent morphological
    phenotypes. Here we develop MorphOMICs, a topological data analysis approach,
    which enables semiautomatic mapping of microglial morphology into an atlas of
    cue-dependent phenotypes and overcomes feature-selection biases and biological
    variability. We extract spatially heterogeneous and sexually dimorphic morphological
    phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines
    with maturation but increases over the disease trajectories in two neurodegeneration
    mouse models, with females showing a faster morphological shift in affected brain
    regions. Remarkably, microglia morphologies reflect an adaptation upon repeated
    exposure to ketamine anesthesia and do not recover to control morphologies. Finally,
    we demonstrate that both long primary processes and short terminal processes provide
    distinct insights to morphological phenotypes. MorphOMICs opens a new perspective
    to characterize microglial morphology.
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: ScienComp
acknowledgement: We thank the scientific service units at ISTA, in particular M. Schunn’s
  team at the preclinical facility, and especially our colony manager S. Haslinger,
  for excellent support. We are also grateful to the ISTA Imaging & Optics Facility,
  and in particular C. Sommer for helping with the data file conversions. We thank
  R. Erhart from the ISTA Scientific Computing Unit for improving the script performance.
  We thank M. Maes, B. Nagy, S. Oakeley and M. Benevento and all members of the Siegert
  group for constant feedback on the project and on the manuscript. This research
  was supported by the European Union Horizon 2020 research and innovation program
  under the Marie Skłodowska-Curie Actions program (754411 to R.J.A.C.), and by the
  European Research Council (grant no. 715571 to S.S.). L.K. was supported by funding
  to the Blue Brain Project, a research center of the École polytechnique fédérale
  de Lausanne, from the Swiss government’s ETH Board of the Swiss Federal Institutes
  of Technology. L.-H.T. was supported by NIH (grant no. R37NS051874) and by the JPB
  Foundation. The funders had no role in study design, data collection and analysis,
  decision to publish or preparation of the manuscript.
article_processing_charge: No
article_type: original
author:
- first_name: Gloria
  full_name: Colombo, Gloria
  id: 3483CF6C-F248-11E8-B48F-1D18A9856A87
  last_name: Colombo
  orcid: 0000-0001-9434-8902
- first_name: Ryan J
  full_name: Cubero, Ryan J
  id: 850B2E12-9CD4-11E9-837F-E719E6697425
  last_name: Cubero
  orcid: 0000-0003-0002-1867
- first_name: Lida
  full_name: Kanari, Lida
  last_name: Kanari
- first_name: Alessandro
  full_name: Venturino, Alessandro
  id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
  last_name: Venturino
  orcid: 0000-0003-2356-9403
- first_name: Rouven
  full_name: Schulz, Rouven
  id: 4C5E7B96-F248-11E8-B48F-1D18A9856A87
  last_name: Schulz
  orcid: 0000-0001-5297-733X
- first_name: Martina
  full_name: Scolamiero, Martina
  last_name: Scolamiero
- first_name: Jens
  full_name: Agerberg, Jens
  last_name: Agerberg
- first_name: Hansruedi
  full_name: Mathys, Hansruedi
  last_name: Mathys
- first_name: Li-Huei
  full_name: Tsai, Li-Huei
  last_name: Tsai
- first_name: Wojciech
  full_name: Chachólski, Wojciech
  last_name: Chachólski
- first_name: Kathryn
  full_name: Hess, Kathryn
  last_name: Hess
- first_name: Sandra
  full_name: Siegert, Sandra
  id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
  last_name: Siegert
  orcid: 0000-0001-8635-0877
citation:
  ama: Colombo G, Cubero RJ, Kanari L, et al. A tool for mapping microglial morphology,
    morphOMICs, reveals brain-region and sex-dependent phenotypes. <i>Nature Neuroscience</i>.
    2022;25(10):1379-1393. doi:<a href="https://doi.org/10.1038/s41593-022-01167-6">10.1038/s41593-022-01167-6</a>
  apa: Colombo, G., Cubero, R. J., Kanari, L., Venturino, A., Schulz, R., Scolamiero,
    M., … Siegert, S. (2022). A tool for mapping microglial morphology, morphOMICs,
    reveals brain-region and sex-dependent phenotypes. <i>Nature Neuroscience</i>.
    Springer Nature. <a href="https://doi.org/10.1038/s41593-022-01167-6">https://doi.org/10.1038/s41593-022-01167-6</a>
  chicago: Colombo, Gloria, Ryan J Cubero, Lida Kanari, Alessandro Venturino, Rouven
    Schulz, Martina Scolamiero, Jens Agerberg, et al. “A Tool for Mapping Microglial
    Morphology, MorphOMICs, Reveals Brain-Region and Sex-Dependent Phenotypes.” <i>Nature
    Neuroscience</i>. Springer Nature, 2022. <a href="https://doi.org/10.1038/s41593-022-01167-6">https://doi.org/10.1038/s41593-022-01167-6</a>.
  ieee: G. Colombo <i>et al.</i>, “A tool for mapping microglial morphology, morphOMICs,
    reveals brain-region and sex-dependent phenotypes,” <i>Nature Neuroscience</i>,
    vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.
  ista: Colombo G, Cubero RJ, Kanari L, Venturino A, Schulz R, Scolamiero M, Agerberg
    J, Mathys H, Tsai L-H, Chachólski W, Hess K, Siegert S. 2022. A tool for mapping
    microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes.
    Nature Neuroscience. 25(10), 1379–1393.
  mla: Colombo, Gloria, et al. “A Tool for Mapping Microglial Morphology, MorphOMICs,
    Reveals Brain-Region and Sex-Dependent Phenotypes.” <i>Nature Neuroscience</i>,
    vol. 25, no. 10, Springer Nature, 2022, pp. 1379–93, doi:<a href="https://doi.org/10.1038/s41593-022-01167-6">10.1038/s41593-022-01167-6</a>.
  short: G. Colombo, R.J. Cubero, L. Kanari, A. Venturino, R. Schulz, M. Scolamiero,
    J. Agerberg, H. Mathys, L.-H. Tsai, W. Chachólski, K. Hess, S. Siegert, Nature
    Neuroscience 25 (2022) 1379–1393.
corr_author: '1'
date_created: 2023-01-16T09:53:07Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-04-22T22:30:37Z
day: '01'
ddc:
- '570'
department:
- _id: SaSi
doi: 10.1038/s41593-022-01167-6
ec_funded: 1
external_id:
  isi:
  - '000862214700001'
  pmid:
  - '36180790'
file:
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  checksum: 28431146873096f52e0107b534f178c9
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  date_created: 2023-01-30T08:06:56Z
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file_date_updated: 2023-01-30T08:06:56Z
has_accepted_license: '1'
intvolume: '        25'
isi: 1
issue: '10'
keyword:
- General Neuroscience
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1379-1393
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 25D4A630-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '715571'
  name: Microglia action towards neuronal circuit formation and function in health
    and disease
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on ISTA website
    relation: press_release
    url: https://ista.ac.at/en/news/morphomics-revealing-the-hidden-meaning-of-microglia-shape/
  record:
  - id: '12378'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: A tool for mapping microglial morphology, morphOMICs, reveals brain-region
  and sex-dependent phenotypes
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: 25
year: '2022'
...
---
_id: '9439'
abstract:
- lang: eng
  text: The ability to adapt to changes in stimulus statistics is a hallmark of sensory
    systems. Here, we developed a theoretical framework that can account for the dynamics
    of adaptation from an information processing perspective. We use this framework
    to optimize and analyze adaptive sensory codes, and we show that codes optimized
    for stationary environments can suffer from prolonged periods of poor performance
    when the environment changes. To mitigate the adversarial effects of these environmental
    changes, sensory systems must navigate tradeoffs between the ability to accurately
    encode incoming stimuli and the ability to rapidly detect and adapt to changes
    in the distribution of these stimuli. We derive families of codes that balance
    these objectives, and we demonstrate their close match to experimentally observed
    neural dynamics during mean and variance adaptation. Our results provide a unifying
    perspective on adaptation across a range of sensory systems, environments, and
    sensory tasks.
acknowledgement: We thank D. Kastner and T. Münch for generously providing figures
  from their work. We also thank V. Jayaraman, M. Noorman, T. Ma, and K. Krishnamurthy
  for useful discussions and feedback on the manuscript. W.F.M. was funded by the
  European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie
  Grant Agreement No. 754411. A.M.H. was supported by the Howard Hughes Medical Institute.
article_processing_charge: No
article_type: original
author:
- first_name: Wiktor F
  full_name: Mlynarski, Wiktor F
  id: 358A453A-F248-11E8-B48F-1D18A9856A87
  last_name: Mlynarski
- first_name: Ann M.
  full_name: Hermundstad, Ann M.
  last_name: Hermundstad
citation:
  ama: Mlynarski WF, Hermundstad AM. Efficient and adaptive sensory codes. <i>Nature
    Neuroscience</i>. 2021;24:998-1009. doi:<a href="https://doi.org/10.1038/s41593-021-00846-0">10.1038/s41593-021-00846-0</a>
  apa: Mlynarski, W. F., &#38; Hermundstad, A. M. (2021). Efficient and adaptive sensory
    codes. <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-021-00846-0">https://doi.org/10.1038/s41593-021-00846-0</a>
  chicago: Mlynarski, Wiktor F, and Ann M. Hermundstad. “Efficient and Adaptive Sensory
    Codes.” <i>Nature Neuroscience</i>. Springer Nature, 2021. <a href="https://doi.org/10.1038/s41593-021-00846-0">https://doi.org/10.1038/s41593-021-00846-0</a>.
  ieee: W. F. Mlynarski and A. M. Hermundstad, “Efficient and adaptive sensory codes,”
    <i>Nature Neuroscience</i>, vol. 24. Springer Nature, pp. 998–1009, 2021.
  ista: Mlynarski WF, Hermundstad AM. 2021. Efficient and adaptive sensory codes.
    Nature Neuroscience. 24, 998–1009.
  mla: Mlynarski, Wiktor F., and Ann M. Hermundstad. “Efficient and Adaptive Sensory
    Codes.” <i>Nature Neuroscience</i>, vol. 24, Springer Nature, 2021, pp. 998–1009,
    doi:<a href="https://doi.org/10.1038/s41593-021-00846-0">10.1038/s41593-021-00846-0</a>.
  short: W.F. Mlynarski, A.M. Hermundstad, Nature Neuroscience 24 (2021) 998–1009.
date_created: 2021-05-30T22:01:24Z
date_published: 2021-05-20T00:00:00Z
date_updated: 2025-06-12T06:41:38Z
day: '20'
department:
- _id: GaTk
doi: 10.1038/s41593-021-00846-0
ec_funded: 1
external_id:
  isi:
  - '000652577300003'
  pmid:
  - '34017131'
intvolume: '        24'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: 'https://doi.org/10.1101/669200 '
month: '05'
oa: 1
oa_version: Preprint
page: 998-1009
pmid: 1
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Efficient and adaptive sensory codes
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2021'
...
---
OA_place: publisher
OA_type: green
_id: '6995'
abstract:
- lang: eng
  text: Human brain organoids represent a powerful tool for the study of human neurological
    diseases particularly those that impact brain growth and structure. However, many
    neurological diseases lack obvious anatomical abnormalities, yet significantly
    impact neural network functions, raising the question of whether organoids possess
    sufficient neural network architecture and complexity to model these conditions.
    Here, we explore the network level functions of brain organoids using calcium
    sensor imaging and extracellular recording approaches that together reveal the
    existence of complex oscillatory network behaviors reminiscent of intact brain
    preparations. We further demonstrate strikingly abnormal epileptiform network
    activity in organoids derived from a Rett Syndrome patient despite only modest
    anatomical differences from isogenically matched controls, and rescue with an
    unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide
    an essential foundation for the utilization of human brain organoids to study
    intact and disordered human brain network formation and illustrate their utility
    in therapeutic discovery.
acknowledgement: We thank S. Butler, T. Carmichael and members of the laboratory of
  B.G.N. for helpful discussions and comments on the manuscript; N. Vishlaghi and
  F. Turcios-Hernandez for technical assistance, and J. Lee, S.-K. Lee, H. Shinagawa
  and K. Yoshikawa for valuable reagents. We also thank the UCLA Eli and Edythe Broad
  Stem Cell Research Center (BSCRC) and Intellectual and Developmental Disabilities
  Research Center microscopy cores for access to imaging facilities. This work was
  supported by grants from the California Institute for Regenerative Medicine (CIRM)
  (DISC1-08819 to B.G.N.), the National Institute of Health (R01NS089817, R01DA051897
  and P50HD103557 to B.G.N.; K08NS119747 to R.A.S.; K99HD096105 to M.W.; R01MH123922,
  R01MH121521 and P50HD103557 to M.J.G.; R01GM099134 to K.P.; R01NS103788 to W.E.L.;
  R01NS088571 to J.M.P.; R01NS030549 and R01AG050474 to I.M.), and research awards
  from the UCLA Jonsson Comprehensive Cancer Center and BSCRC Ablon Scholars Program
  (to B.G.N.), the BSCRC Innovation Program (to B.G.N., K.P. and W.E.L.), the UCLA
  BSCRC Steffy Brain Aging Research Fund (to B.G.N. and W.E.L.) and the UCLA Clinical
  and Translational Science Institute (to B.G.N.), Paul Allen Family Foundation Frontiers
  Group (to K.P. and W.E.L.), the March of Dimes Foundation (to W.E.L.) and the Simons
  Foundation Autism Research Initiative Bridge to Independence Program (to R.A.S.
  and M.J.G.). R.A.S. was also supported by the UCLA/NINDS Translational Neuroscience
  Training Grant (R25NS065723), a Research and Training Fellowship from the American
  Epilepsy Society, a Taking Flight Award from CURE Epilepsy and a Clinician Scientist
  training award from the UCLA BSCRC. J.E.B. was supported by the UCLA BSCRC Rose
  Hills Foundation Graduate Scholarship Training Program. M.W. was supported by postdoctoral
  training awards provided by the UCLA BSCRC and the Uehara Memorial Foundation. O.A.M.
  and A.K. were supported in part by the UCLA-California State University Northridge
  CIRM-Bridges training program (EDUC2-08411). We also acknowledge the support of
  the IDDRC Cells, Circuits and Systems Analysis, Microscopy and Genetics and Genomics
  Cores of the Semel Institute of Neuroscience at UCLA, which are supported by the
  NICHD (U54HD087101 and P50HD10355701). We lastly acknowledge support from a Quantitative
  and Computational Biosciences Collaboratory Postdoctoral Fellowship to S.M. and
  the Quantitative and Computational Biosciences Collaboratory community, directed
  by M. Pellegrini.
article_processing_charge: No
article_type: review
author:
- first_name: Ranmal A.
  full_name: Samarasinghe, Ranmal A.
  last_name: Samarasinghe
- first_name: Osvaldo
  full_name: Miranda, Osvaldo
  id: 862A3C56-A8BF-11E9-B4FA-D9E3E5697425
  last_name: Miranda
  orcid: 0000-0001-6618-6889
- first_name: Jessie E.
  full_name: Buth, Jessie E.
  last_name: Buth
- first_name: Simon
  full_name: Mitchell, Simon
  last_name: Mitchell
- first_name: Isabella
  full_name: Ferando, Isabella
  last_name: Ferando
- first_name: Momoko
  full_name: Watanabe, Momoko
  last_name: Watanabe
- first_name: Arinnae
  full_name: Kurdian, Arinnae
  last_name: Kurdian
- first_name: Peyman
  full_name: Golshani, Peyman
  last_name: Golshani
- first_name: Kathrin
  full_name: Plath, Kathrin
  last_name: Plath
- first_name: William E.
  full_name: Lowry, William E.
  last_name: Lowry
- first_name: Jack M.
  full_name: Parent, Jack M.
  last_name: Parent
- first_name: Istvan
  full_name: Mody, Istvan
  last_name: Mody
- first_name: Bennett G.
  full_name: Novitch, Bennett G.
  last_name: Novitch
citation:
  ama: Samarasinghe RA, Miranda O, Buth JE, et al. Identification of neural oscillations
    and epileptiform changes in human brain organoids. <i>Nature Neuroscience</i>.
    2021;24:32. doi:<a href="https://doi.org/10.1038/s41593-021-00906-5">10.1038/s41593-021-00906-5</a>
  apa: Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe,
    M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform
    changes in human brain organoids. <i>Nature Neuroscience</i>. Springer Nature.
    <a href="https://doi.org/10.1038/s41593-021-00906-5">https://doi.org/10.1038/s41593-021-00906-5</a>
  chicago: Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell,
    Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. “Identification of
    Neural Oscillations and Epileptiform Changes in Human Brain Organoids.” <i>Nature
    Neuroscience</i>. Springer Nature, 2021. <a href="https://doi.org/10.1038/s41593-021-00906-5">https://doi.org/10.1038/s41593-021-00906-5</a>.
  ieee: R. A. Samarasinghe <i>et al.</i>, “Identification of neural oscillations and
    epileptiform changes in human brain organoids,” <i>Nature Neuroscience</i>, vol.
    24. Springer Nature, p. 32, 2021.
  ista: Samarasinghe RA, Miranda O, Buth JE, Mitchell S, Ferando I, Watanabe M, Kurdian
    A, Golshani P, Plath K, Lowry WE, Parent JM, Mody I, Novitch BG. 2021. Identification
    of neural oscillations and epileptiform changes in human brain organoids. Nature
    Neuroscience. 24, 32.
  mla: Samarasinghe, Ranmal A., et al. “Identification of Neural Oscillations and
    Epileptiform Changes in Human Brain Organoids.” <i>Nature Neuroscience</i>, vol.
    24, Springer Nature, 2021, p. 32, doi:<a href="https://doi.org/10.1038/s41593-021-00906-5">10.1038/s41593-021-00906-5</a>.
  short: R.A. Samarasinghe, O. Miranda, J.E. Buth, S. Mitchell, I. Ferando, M. Watanabe,
    A. Kurdian, P. Golshani, K. Plath, W.E. Lowry, J.M. Parent, I. Mody, B.G. Novitch,
    Nature Neuroscience 24 (2021) 32.
date_created: 2019-11-10T11:23:58Z
date_published: 2021-08-23T00:00:00Z
date_updated: 2025-07-09T09:00:12Z
day: '23'
department:
- _id: GradSch
- _id: SiHi
doi: 10.1038/s41593-021-00906-5
external_id:
  isi:
  - '000687516300001'
  pmid:
  - '34426698 '
intvolume: '        24'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/820183
month: '08'
oa: 1
oa_version: Preprint
page: '32'
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Identification of neural oscillations and epileptiform changes in human brain
  organoids
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2021'
...
---
_id: '8073'
abstract:
- lang: eng
  text: Motor cortex (M1) exhibits a rich repertoire of neuronal activities to support
    the generation of complex movements. Although recent neuronal-network models capture
    many qualitative aspects of M1 dynamics, they can generate only a few distinct
    movements. Additionally, it is unclear how M1 efficiently controls movements over
    a wide range of shapes and speeds. We demonstrate that modulation of neuronal
    input–output gains in recurrent neuronal-network models with a fixed architecture
    can dramatically reorganize neuronal activity and thus downstream muscle outputs.
    Consistent with the observation of diffuse neuromodulatory projections to M1,
    a relatively small number of modulatory control units provide sufficient flexibility
    to adjust high-dimensional network activity using a simple reward-based learning
    rule. Furthermore, it is possible to assemble novel movements from previously
    learned primitives, and one can separately change movement speed while preserving
    movement shape. Our results provide a new perspective on the role of modulatory
    systems in controlling recurrent cortical activity.
article_processing_charge: No
article_type: original
author:
- first_name: Jake P.
  full_name: Stroud, Jake P.
  last_name: Stroud
- first_name: Mason A.
  full_name: Porter, Mason A.
  last_name: Porter
- first_name: Guillaume
  full_name: Hennequin, Guillaume
  last_name: Hennequin
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
citation:
  ama: Stroud JP, Porter MA, Hennequin G, Vogels TP. Motor primitives in space and
    time via targeted gain modulation in cortical networks. <i>Nature Neuroscience</i>.
    2018;21(12):1774-1783. doi:<a href="https://doi.org/10.1038/s41593-018-0276-0">10.1038/s41593-018-0276-0</a>
  apa: Stroud, J. P., Porter, M. A., Hennequin, G., &#38; Vogels, T. P. (2018). Motor
    primitives in space and time via targeted gain modulation in cortical networks.
    <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/s41593-018-0276-0">https://doi.org/10.1038/s41593-018-0276-0</a>
  chicago: Stroud, Jake P., Mason A. Porter, Guillaume Hennequin, and Tim P Vogels.
    “Motor Primitives in Space and Time via Targeted Gain Modulation in Cortical Networks.”
    <i>Nature Neuroscience</i>. Springer Nature, 2018. <a href="https://doi.org/10.1038/s41593-018-0276-0">https://doi.org/10.1038/s41593-018-0276-0</a>.
  ieee: J. P. Stroud, M. A. Porter, G. Hennequin, and T. P. Vogels, “Motor primitives
    in space and time via targeted gain modulation in cortical networks,” <i>Nature
    Neuroscience</i>, vol. 21, no. 12. Springer Nature, pp. 1774–1783, 2018.
  ista: Stroud JP, Porter MA, Hennequin G, Vogels TP. 2018. Motor primitives in space
    and time via targeted gain modulation in cortical networks. Nature Neuroscience.
    21(12), 1774–1783.
  mla: Stroud, Jake P., et al. “Motor Primitives in Space and Time via Targeted Gain
    Modulation in Cortical Networks.” <i>Nature Neuroscience</i>, vol. 21, no. 12,
    Springer Nature, 2018, pp. 1774–83, doi:<a href="https://doi.org/10.1038/s41593-018-0276-0">10.1038/s41593-018-0276-0</a>.
  short: J.P. Stroud, M.A. Porter, G. Hennequin, T.P. Vogels, Nature Neuroscience
    21 (2018) 1774–1783.
date_created: 2020-06-30T13:18:02Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2021-01-12T08:16:46Z
day: '01'
doi: 10.1038/s41593-018-0276-0
extern: '1'
external_id:
  pmid:
  - '30482949'
intvolume: '        21'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276991/
month: '12'
oa: 1
oa_version: Submitted Version
page: 1774-1783
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
  - 1546-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - relation: erratum
    url: https://doi.org/10.1038/s41593-018-0307-x
status: public
title: Motor primitives in space and time via targeted gain modulation in cortical
  networks
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 21
year: '2018'
...
---
OA_place: repository
OA_type: green
_id: '19474'
abstract:
- lang: eng
  text: The complex behaviors underlying reward seeking and consumption are integral
    to organism survival. The hypothalamus and mesolimbic dopamine system are key
    mediators of these behaviors, yet regulation of appetitive and consummatory behaviors
    outside of these regions is poorly understood. The central nucleus of the amygdala
    (CeA) has been implicated in feeding and reward, but the neurons and circuit mechanisms
    that positively regulate these behaviors remain unclear. Here, we defined the
    neuronal mechanisms by which CeA neurons promote food consumption. Using in vivo
    activity manipulations and Ca2+ imaging in mice, we found that GABAergic serotonin
    receptor 2a (Htr2a)-expressing CeA neurons modulate food consumption, promote
    positive reinforcement and are active in vivo during eating. We demonstrated electrophysiologically,
    anatomically and behaviorally that intra-CeA and long-range circuit mechanisms
    underlie these behaviors. Finally, we showed that CeAHtr2a neurons receive inputs
    from feeding-relevant brain regions. Our results illustrate how defined CeA neural
    circuits positively regulate food consumption.
article_processing_charge: No
article_type: original
author:
- first_name: Amelia May Barnett
  full_name: Douglass, Amelia May Barnett
  id: de5f6fda-80fb-11ef-996f-a8c4ecd8e289
  last_name: Douglass
  orcid: 0000-0001-5398-6473
- first_name: Hakan
  full_name: Kucukdereli, Hakan
  last_name: Kucukdereli
- first_name: Marion
  full_name: Ponserre, Marion
  last_name: Ponserre
- first_name: Milica
  full_name: Markovic, Milica
  last_name: Markovic
- first_name: Jan
  full_name: Gründemann, Jan
  last_name: Gründemann
- first_name: Cornelia
  full_name: Strobel, Cornelia
  last_name: Strobel
- first_name: Pilar L
  full_name: Alcala Morales, Pilar L
  last_name: Alcala Morales
- first_name: Karl-Klaus
  full_name: Conzelmann, Karl-Klaus
  last_name: Conzelmann
- first_name: Andreas
  full_name: Lüthi, Andreas
  last_name: Lüthi
- first_name: Rüdiger
  full_name: Klein, Rüdiger
  last_name: Klein
citation:
  ama: Douglass AM, Kucukdereli H, Ponserre M, et al. Central amygdala circuits modulate
    food consumption through a positive-valence mechanism. <i>Nature Neuroscience</i>.
    2017;20(10):1384-1394. doi:<a href="https://doi.org/10.1038/nn.4623">10.1038/nn.4623</a>
  apa: Douglass, A. M., Kucukdereli, H., Ponserre, M., Markovic, M., Gründemann, J.,
    Strobel, C., … Klein, R. (2017). Central amygdala circuits modulate food consumption
    through a positive-valence mechanism. <i>Nature Neuroscience</i>. Springer Nature.
    <a href="https://doi.org/10.1038/nn.4623">https://doi.org/10.1038/nn.4623</a>
  chicago: Douglass, Amelia M., Hakan Kucukdereli, Marion Ponserre, Milica Markovic,
    Jan Gründemann, Cornelia Strobel, Pilar L Alcala Morales, Karl-Klaus Conzelmann,
    Andreas Lüthi, and Rüdiger Klein. “Central Amygdala Circuits Modulate Food Consumption
    through a Positive-Valence Mechanism.” <i>Nature Neuroscience</i>. Springer Nature,
    2017. <a href="https://doi.org/10.1038/nn.4623">https://doi.org/10.1038/nn.4623</a>.
  ieee: A. M. Douglass <i>et al.</i>, “Central amygdala circuits modulate food consumption
    through a positive-valence mechanism,” <i>Nature Neuroscience</i>, vol. 20, no.
    10. Springer Nature, pp. 1384–1394, 2017.
  ista: Douglass AM, Kucukdereli H, Ponserre M, Markovic M, Gründemann J, Strobel
    C, Alcala Morales PL, Conzelmann K-K, Lüthi A, Klein R. 2017. Central amygdala
    circuits modulate food consumption through a positive-valence mechanism. Nature
    Neuroscience. 20(10), 1384–1394.
  mla: Douglass, Amelia M., et al. “Central Amygdala Circuits Modulate Food Consumption
    through a Positive-Valence Mechanism.” <i>Nature Neuroscience</i>, vol. 20, no.
    10, Springer Nature, 2017, pp. 1384–94, doi:<a href="https://doi.org/10.1038/nn.4623">10.1038/nn.4623</a>.
  short: A.M. Douglass, H. Kucukdereli, M. Ponserre, M. Markovic, J. Gründemann, C.
    Strobel, P.L. Alcala Morales, K.-K. Conzelmann, A. Lüthi, R. Klein, Nature Neuroscience
    20 (2017) 1384–1394.
date_created: 2025-04-03T12:30:57Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2025-07-10T11:51:42Z
day: '01'
doi: 10.1038/nn.4623
extern: '1'
external_id:
  pmid:
  - '28825719 '
intvolume: '        20'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/145375
month: '10'
oa: 1
oa_version: Preprint
page: 1384-1394
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  eissn:
  - 1546-1726
  issn:
  - 1097-6256
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Central amygdala circuits modulate food consumption through a positive-valence
  mechanism
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2017'
...
---
_id: '2228'
abstract:
- lang: eng
  text: Fast-spiking, parvalbumin-expressing GABAergic interneurons, a large proportion
    of which are basket cells (BCs), have a key role in feedforward and feedback inhibition,
    gamma oscillations and complex information processing. For these functions, fast
    propagation of action potentials (APs) from the soma to the presynaptic terminals
    is important. However, the functional properties of interneuron axons remain elusive.
    We examined interneuron axons by confocally targeted subcellular patch-clamp recording
    in rat hippocampal slices. APs were initiated in the proximal axon ∼20 μm from
    the soma and propagated to the distal axon with high reliability and speed. Subcellular
    mapping revealed a stepwise increase of Na^+ conductance density from the soma
    to the proximal axon, followed by a further gradual increase in the distal axon.
    Active cable modeling and experiments with partial channel block revealed that
    low axonal Na^+ conductance density was sufficient for reliability, but high Na^+
    density was necessary for both speed of propagation and fast-spiking AP phenotype.
    Our results suggest that a supercritical density of Na^+ channels compensates
    for the morphological properties of interneuron axons (small segmental diameter,
    extensive branching and high bouton density), ensuring fast AP propagation and
    high-frequency repetitive firing.
article_processing_charge: No
author:
- first_name: Hua
  full_name: Hu, Hua
  id: 4AC0145C-F248-11E8-B48F-1D18A9856A87
  last_name: Hu
- 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: Hu H, Jonas PM. A supercritical density of Na^+ channels ensures fast signaling
    in GABAergic interneuron axons. <i>Nature Neuroscience</i>. 2014;17(5):686-693.
    doi:<a href="https://doi.org/10.1038/nn.3678">10.1038/nn.3678</a>
  apa: Hu, H., &#38; Jonas, P. M. (2014). A supercritical density of Na^+ channels
    ensures fast signaling in GABAergic interneuron axons. <i>Nature Neuroscience</i>.
    Nature Publishing Group. <a href="https://doi.org/10.1038/nn.3678">https://doi.org/10.1038/nn.3678</a>
  chicago: Hu, Hua, and Peter M Jonas. “A Supercritical Density of Na^+ Channels Ensures
    Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>. Nature
    Publishing Group, 2014. <a href="https://doi.org/10.1038/nn.3678">https://doi.org/10.1038/nn.3678</a>.
  ieee: H. Hu and P. M. Jonas, “A supercritical density of Na^+ channels ensures fast
    signaling in GABAergic interneuron axons,” <i>Nature Neuroscience</i>, vol. 17,
    no. 5. Nature Publishing Group, pp. 686–693, 2014.
  ista: Hu H, Jonas PM. 2014. A supercritical density of Na^+ channels ensures fast
    signaling in GABAergic interneuron axons. Nature Neuroscience. 17(5), 686–693.
  mla: Hu, Hua, and Peter M. Jonas. “A Supercritical Density of Na^+ Channels Ensures
    Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>, vol.
    17, no. 5, Nature Publishing Group, 2014, pp. 686–93, doi:<a href="https://doi.org/10.1038/nn.3678">10.1038/nn.3678</a>.
  short: H. Hu, P.M. Jonas, Nature Neuroscience 17 (2014) 686–693.
corr_author: '1'
date_created: 2018-12-11T11:56:26Z
date_published: 2014-03-23T00:00:00Z
date_updated: 2025-09-29T11:25:07Z
day: '23'
department:
- _id: PeJo
doi: 10.1038/nn.3678
ec_funded: 1
external_id:
  isi:
  - '000335016200012'
intvolume: '        17'
isi: 1
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286295/
month: '03'
oa: 1
oa_version: Submitted Version
page: 686-693
project:
- _id: 25C0F108-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '268548'
  name: Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons
- _id: 25C26B1E-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: P24909-B24
  name: Mechanisms of transmitter release at GABAergic synapses
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
publication_status: published
publisher: Nature Publishing Group
publist_id: '4733'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A supercritical density of Na^+ channels ensures fast signaling in GABAergic
  interneuron axons
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 17
year: '2014'
...
---
_id: '6136'
abstract:
- lang: eng
  text: Tonic receptors convey stimulus duration and intensity and are implicated
    in homeostatic control. However, how tonic homeostatic signals are generated and
    how they reconfigure neural circuits and modify animal behavior is poorly understood.
    Here we show that Caenorhabditis elegans O2-sensing neurons are tonic receptors
    that continuously signal ambient [O2] to set the animal's behavioral state. Sustained
    signaling relied on a Ca2+ relay involving L-type voltage-gated Ca2+ channels,
    the ryanodine and the inositol-1,4,5-trisphosphate receptors. Tonic activity evoked
    continuous neuropeptide release, which helps elicit the enduring behavioral state
    associated with high [O2]. Sustained O2 receptor signaling was propagated to downstream
    neural circuits, including the hub interneuron RMG. O2 receptors evoked similar
    locomotory states at particular O2 concentrations, regardless of previous d[O2]/dt.
    However, a phasic component of the URX receptors' response to high d[O2]/dt, as
    well as tonic-to-phasic transformations in downstream interneurons, enabled transient
    reorientation movements shaped by d[O2]/dt. Our results highlight how tonic homeostatic
    signals can generate both transient and enduring behavioral change.
author:
- first_name: Karl Emanuel
  full_name: Busch, Karl Emanuel
  last_name: Busch
- first_name: Patrick
  full_name: Laurent, Patrick
  last_name: Laurent
- first_name: Zoltan
  full_name: Soltesz, Zoltan
  last_name: Soltesz
- first_name: Robin Joseph
  full_name: Murphy, Robin Joseph
  last_name: Murphy
- first_name: Olivier
  full_name: Faivre, Olivier
  last_name: Faivre
- first_name: Berthold
  full_name: Hedwig, Berthold
  last_name: Hedwig
- first_name: Martin
  full_name: Thomas, Martin
  last_name: Thomas
- first_name: Heather L
  full_name: Smith, Heather L
  last_name: Smith
- first_name: Mario
  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
citation:
  ama: Busch KE, Laurent P, Soltesz Z, et al. Tonic signaling from O2 sensors sets
    neural circuit activity and behavioral state. <i>Nature Neuroscience</i>. 2012;15(4):581-591.
    doi:<a href="https://doi.org/10.1038/nn.3061">10.1038/nn.3061</a>
  apa: Busch, K. E., Laurent, P., Soltesz, Z., Murphy, R. J., Faivre, O., Hedwig,
    B., … de Bono, M. (2012). Tonic signaling from O2 sensors sets neural circuit
    activity and behavioral state. <i>Nature Neuroscience</i>. Springer Nature. <a
    href="https://doi.org/10.1038/nn.3061">https://doi.org/10.1038/nn.3061</a>
  chicago: Busch, Karl Emanuel, Patrick Laurent, Zoltan Soltesz, Robin Joseph Murphy,
    Olivier Faivre, Berthold Hedwig, Martin Thomas, Heather L Smith, and Mario de
    Bono. “Tonic Signaling from O2 Sensors Sets Neural Circuit Activity and Behavioral
    State.” <i>Nature Neuroscience</i>. Springer Nature, 2012. <a href="https://doi.org/10.1038/nn.3061">https://doi.org/10.1038/nn.3061</a>.
  ieee: K. E. Busch <i>et al.</i>, “Tonic signaling from O2 sensors sets neural circuit
    activity and behavioral state,” <i>Nature Neuroscience</i>, vol. 15, no. 4. Springer
    Nature, pp. 581–591, 2012.
  ista: Busch KE, Laurent P, Soltesz Z, Murphy RJ, Faivre O, Hedwig B, Thomas M, Smith
    HL, de Bono M. 2012. Tonic signaling from O2 sensors sets neural circuit activity
    and behavioral state. Nature Neuroscience. 15(4), 581–591.
  mla: Busch, Karl Emanuel, et al. “Tonic Signaling from O2 Sensors Sets Neural Circuit
    Activity and Behavioral State.” <i>Nature Neuroscience</i>, vol. 15, no. 4, Springer
    Nature, 2012, pp. 581–91, doi:<a href="https://doi.org/10.1038/nn.3061">10.1038/nn.3061</a>.
  short: K.E. Busch, P. Laurent, Z. Soltesz, R.J. Murphy, O. Faivre, B. Hedwig, M.
    Thomas, H.L. Smith, M. de Bono, Nature Neuroscience 15 (2012) 581–591.
date_created: 2019-03-20T14:23:30Z
date_published: 2012-03-04T00:00:00Z
date_updated: 2021-01-12T08:06:17Z
day: '04'
doi: 10.1038/nn.3061
extern: '1'
external_id:
  pmid:
  - '22388961'
intvolume: '        15'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564487/
month: '03'
oa: 1
oa_version: Submitted Version
page: 581-591
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
  - 1546-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Tonic signaling from O2 sensors sets neural circuit activity and behavioral
  state
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 15
year: '2012'
...
---
_id: '8026'
abstract:
- lang: eng
  text: Recent theoretical work has provided a basic understanding of signal propagation
    in networks of spiking neurons, but mechanisms for gating and controlling these
    signals have not been investigated previously. Here we introduce an idea for the
    gating of multiple signals in cortical networks that combines principles of signal
    propagation with aspects of balanced networks. Specifically, we studied networks
    in which incoming excitatory signals are normally cancelled by locally evoked
    inhibition, leaving the targeted layer unresponsive. Transmission can be gated
    'on' by modulating excitatory and inhibitory gains to upset this detailed balance.
    We illustrate gating through detailed balance in large networks of integrate-and-fire
    neurons. We show successful gating of multiple signals and study failure modes
    that produce effects reminiscent of clinically observed pathologies. Provided
    that the individual signals are detectable, detailed balance has a large capacity
    for gating multiple signals.
article_processing_charge: No
article_type: original
author:
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
- first_name: L F
  full_name: Abbott, L F
  last_name: Abbott
citation:
  ama: Vogels TP, Abbott LF. Gating multiple signals through detailed balance of excitation
    and inhibition in spiking networks. <i>Nature Neuroscience</i>. 2009;12(4):483-491.
    doi:<a href="https://doi.org/10.1038/nn.2276">10.1038/nn.2276</a>
  apa: Vogels, T. P., &#38; Abbott, L. F. (2009). Gating multiple signals through
    detailed balance of excitation and inhibition in spiking networks. <i>Nature Neuroscience</i>.
    Springer Nature. <a href="https://doi.org/10.1038/nn.2276">https://doi.org/10.1038/nn.2276</a>
  chicago: Vogels, Tim P, and L F Abbott. “Gating Multiple Signals through Detailed
    Balance of Excitation and Inhibition in Spiking Networks.” <i>Nature Neuroscience</i>.
    Springer Nature, 2009. <a href="https://doi.org/10.1038/nn.2276">https://doi.org/10.1038/nn.2276</a>.
  ieee: T. P. Vogels and L. F. Abbott, “Gating multiple signals through detailed balance
    of excitation and inhibition in spiking networks,” <i>Nature Neuroscience</i>,
    vol. 12, no. 4. Springer Nature, pp. 483–491, 2009.
  ista: Vogels TP, Abbott LF. 2009. Gating multiple signals through detailed balance
    of excitation and inhibition in spiking networks. Nature Neuroscience. 12(4),
    483–491.
  mla: Vogels, Tim P., and L. F. Abbott. “Gating Multiple Signals through Detailed
    Balance of Excitation and Inhibition in Spiking Networks.” <i>Nature Neuroscience</i>,
    vol. 12, no. 4, Springer Nature, 2009, pp. 483–91, doi:<a href="https://doi.org/10.1038/nn.2276">10.1038/nn.2276</a>.
  short: T.P. Vogels, L.F. Abbott, Nature Neuroscience 12 (2009) 483–491.
date_created: 2020-06-25T13:10:55Z
date_published: 2009-04-01T00:00:00Z
date_updated: 2021-01-12T08:16:36Z
day: '01'
doi: 10.1038/nn.2276
extern: '1'
external_id:
  pmid:
  - '19305402'
intvolume: '        12'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693069/
month: '04'
oa: 1
oa_version: Submitted Version
page: 483-491
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
  - 1546-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Gating multiple signals through detailed balance of excitation and inhibition
  in spiking networks
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 12
year: '2009'
...
---
_id: '6156'
abstract:
- lang: eng
  text: 'Social and solitary feeding in natural Caenorhabditis elegans isolates are
    associated with two alleles of the orphan G-protein-coupled receptor (GPCR) NPR-1:
    social feeders contain NPR-1 215F, whereas solitary feeders contain NPR-1 215V.
    Here we identify FMRFamide-related neuropeptides (FaRPs) encoded by the flp-18
    and flp-21 genes as NPR-1 ligands and show that these peptides can differentially
    activate the NPR-1 215F and NPR-1 215V receptors. Multicopy overexpression of
    flp-21 transformed wild social animals into solitary feeders. Conversely, a flp-21
    deletion partially phenocopied the npr-1(null) phenotype, which is consistent
    with NPR-1 activation by FLP-21 in vivo but also implicates other ligands for
    NPR-1. Phylogenetic studies indicate that the dominant npr-1 215V allele likely
    arose from an ancestral npr-1 215F gene in C. elegans. Our data suggest a model
    in which solitary feeding evolved in an ancestral social strain of C. elegans
    by a gain-of-function mutation that modified the response of NPR-1 to FLP-18 and
    FLP-21 ligands.'
author:
- first_name: Candida
  full_name: Rogers, Candida
  last_name: Rogers
- first_name: Vincenzina
  full_name: Reale, Vincenzina
  last_name: Reale
- first_name: Kyuhyung
  full_name: Kim, Kyuhyung
  last_name: Kim
- first_name: Heather
  full_name: Chatwin, Heather
  last_name: Chatwin
- first_name: Chris
  full_name: Li, Chris
  last_name: Li
- first_name: Peter
  full_name: Evans, Peter
  last_name: Evans
- first_name: Mario
  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
citation:
  ama: Rogers C, Reale V, Kim K, et al. Inhibition of Caenorhabditis elegans social
    feeding by FMRFamide-related peptide activation of NPR-1. <i>Nature Neuroscience</i>.
    2003;6(11):1178-1185. doi:<a href="https://doi.org/10.1038/nn1140">10.1038/nn1140</a>
  apa: Rogers, C., Reale, V., Kim, K., Chatwin, H., Li, C., Evans, P., &#38; de Bono,
    M. (2003). Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related
    peptide activation of NPR-1. <i>Nature Neuroscience</i>. Springer Nature. <a href="https://doi.org/10.1038/nn1140">https://doi.org/10.1038/nn1140</a>
  chicago: Rogers, Candida, Vincenzina Reale, Kyuhyung Kim, Heather Chatwin, Chris
    Li, Peter Evans, and Mario de Bono. “Inhibition of Caenorhabditis Elegans Social
    Feeding by FMRFamide-Related Peptide Activation of NPR-1.” <i>Nature Neuroscience</i>.
    Springer Nature, 2003. <a href="https://doi.org/10.1038/nn1140">https://doi.org/10.1038/nn1140</a>.
  ieee: C. Rogers <i>et al.</i>, “Inhibition of Caenorhabditis elegans social feeding
    by FMRFamide-related peptide activation of NPR-1,” <i>Nature Neuroscience</i>,
    vol. 6, no. 11. Springer Nature, pp. 1178–1185, 2003.
  ista: Rogers C, Reale V, Kim K, Chatwin H, Li C, Evans P, de Bono M. 2003. Inhibition
    of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation
    of NPR-1. Nature Neuroscience. 6(11), 1178–1185.
  mla: Rogers, Candida, et al. “Inhibition of Caenorhabditis Elegans Social Feeding
    by FMRFamide-Related Peptide Activation of NPR-1.” <i>Nature Neuroscience</i>,
    vol. 6, no. 11, Springer Nature, 2003, pp. 1178–85, doi:<a href="https://doi.org/10.1038/nn1140">10.1038/nn1140</a>.
  short: C. Rogers, V. Reale, K. Kim, H. Chatwin, C. Li, P. Evans, M. de Bono, Nature
    Neuroscience 6 (2003) 1178–1185.
date_created: 2019-03-21T09:47:53Z
date_published: 2003-10-12T00:00:00Z
date_updated: 2021-01-12T08:06:25Z
day: '12'
doi: 10.1038/nn1140
extern: '1'
external_id:
  pmid:
  - '14555955'
intvolume: '         6'
issue: '11'
language:
- iso: eng
month: '10'
oa_version: None
page: 1178-1185
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
  - 1546-1726
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
status: public
title: Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide
  activation of NPR-1
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2003'
...
---
_id: '2620'
abstract:
- lang: eng
  text: An ion channel's function depends largely on its location and density on neurons.
    Here we used high-resolution immunolocalization to determine the subcellular distribution
    of the hyperpolarization-activated and cyclic-nucleotide-gated channel subunit
    1 (HCN1) in rat brain. Light microscopy revealed graded HCN1 immunoreactivity
    in apical dendrites of hippocampal, subicular and neocortical layer-5 pyramidal
    cells. Quantitative comparison of immunogold densities showed a 60-fold increase
    from somatic to distal apical dendritic membranes. Distal dendritic shafts had
    16 times more HCN1 labeling than proximal dendrites of similar diameters. At the
    same distance from the soma, the density of HCN1 was significantly higher in dendritic
    shafts than in spines. Our results reveal the complex cell surface distribution
    of voltage-gated ion-channels, and predict its role in increasing the computational
    power of single neurons via subcellular domain and input-specific mechanisms.
acknowledgement: Z.N. received grants from the Hungarian Science Foundation (T032309),
  the Howard Hughes Medical Institute, the James S. McDonnell Foundation, the Wellcome
  Trust and the Boehringer Ingelheim Fund. Z.N. and R.S. received grants from CREST—Japan
  Science and Technology Corporation. G.T. is funded by the Wellcome Trust.
article_processing_charge: No
article_type: original
author:
- first_name: Andrea
  full_name: Lörincz, Andrea
  last_name: Lörincz
- first_name: Takuya
  full_name: Notomi, Takuya
  last_name: Notomi
- first_name: Gábor
  full_name: Tamás, Gábor
  last_name: Tamás
- first_name: Ryuichi
  full_name: Shigemoto, Ryuichi
  id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
  last_name: Shigemoto
  orcid: 0000-0001-8761-9444
- first_name: Zoltán
  full_name: Nusser, Zoltán
  last_name: Nusser
citation:
  ama: Lörincz A, Notomi T, Tamás G, Shigemoto R, Nusser Z. Polarized and compartment-dependent
    distribution of HCN1 in pyramidal cell dendrites. <i>Nature Neuroscience</i>.
    2002;5(11):1185-1193. doi:<a href="https://doi.org/10.1038/nn962">10.1038/nn962</a>
  apa: Lörincz, A., Notomi, T., Tamás, G., Shigemoto, R., &#38; Nusser, Z. (2002).
    Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites.
    <i>Nature Neuroscience</i>. Nature Publishing Group. <a href="https://doi.org/10.1038/nn962">https://doi.org/10.1038/nn962</a>
  chicago: Lörincz, Andrea, Takuya Notomi, Gábor Tamás, Ryuichi Shigemoto, and Zoltán
    Nusser. “Polarized and Compartment-Dependent Distribution of HCN1 in Pyramidal
    Cell Dendrites.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2002. <a
    href="https://doi.org/10.1038/nn962">https://doi.org/10.1038/nn962</a>.
  ieee: A. Lörincz, T. Notomi, G. Tamás, R. Shigemoto, and Z. Nusser, “Polarized and
    compartment-dependent distribution of HCN1 in pyramidal cell dendrites,” <i>Nature
    Neuroscience</i>, vol. 5, no. 11. Nature Publishing Group, pp. 1185–1193, 2002.
  ista: Lörincz A, Notomi T, Tamás G, Shigemoto R, Nusser Z. 2002. Polarized and compartment-dependent
    distribution of HCN1 in pyramidal cell dendrites. Nature Neuroscience. 5(11),
    1185–1193.
  mla: Lörincz, Andrea, et al. “Polarized and Compartment-Dependent Distribution of
    HCN1 in Pyramidal Cell Dendrites.” <i>Nature Neuroscience</i>, vol. 5, no. 11,
    Nature Publishing Group, 2002, pp. 1185–93, doi:<a href="https://doi.org/10.1038/nn962">10.1038/nn962</a>.
  short: A. Lörincz, T. Notomi, G. Tamás, R. Shigemoto, Z. Nusser, Nature Neuroscience
    5 (2002) 1185–1193.
date_created: 2018-12-11T11:58:43Z
date_published: 2002-11-01T00:00:00Z
date_updated: 2023-07-25T09:02:48Z
day: '01'
doi: 10.1038/nn962
extern: '1'
external_id:
  pmid:
  - '12389030'
intvolume: '         5'
issue: '11'
language:
- iso: eng
month: '11'
oa_version: None
page: 1185 - 1193
pmid: 1
publication: Nature Neuroscience
publication_identifier:
  issn:
  - 1097-6256
publication_status: published
publisher: Nature Publishing Group
publist_id: '4278'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Polarized and compartment-dependent distribution of HCN1 in pyramidal cell
  dendrites
type: journal_article
user_id: ea97e931-d5af-11eb-85d4-e6957dddbf17
volume: 5
year: '2002'
...
