Evidence map›Paper›PMID 37865082›Full record

ArticleNeuron2023

Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys.

Alessandro Sanzeni, Agostina Palmigiano, Tuan H Nguyen, Junxiang Luo, Jonathan J Nassi, John H Reynolds, Mark H Histed, Kenneth D Miller, Nicolas Brunel

Abstract read
In one paragraph

Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Deviance detection via competitive inhibition between local neocortical ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alessandro SanzeniDepartment of Computing Sciences, Bocconi University, 20100 Milan, Italy; Center for Theoretical Neuroscience and Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Neurobiology, Duke University, Durham, NC 27710, USA.
Agostina PalmigianoCenter for Theoretical Neuroscience and Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA.
Tuan H NguyenCenter for Theoretical Neuroscience and Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Physics, Columbia University, New York, NY 10027, USA.
Junxiang LuoSystems Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Jonathan J NassiSystems Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
John H ReynoldsSystems Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Mark H HistedNational Institute of Mental Health Intramural Program, NIH, Bethesda, MD 20814, USA.
Kenneth D MillerCenter for Theoretical Neuroscience and Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY 10027, USA; Department of Neuroscience, Swartz Program in Theoretical Neuroscience, Kavli Institute for Brain Science, College of Physicians and Surgeons and Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York City, NY 10027, USA. Electronic address: ken@neurotheory.columbia.edu.
Nicolas BrunelDepartment of Neurobiology, Duke University, Durham, NC 27710, USA; Department of Physics, Duke University, Durham, NC 27710, USA. Electronic address: nicolas.brunel@duke.edu.

Funding

Validating Theoretical Models with Neurophysiology and OptogeneticsU19NS107613 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADESNIK, HILLEL · 2018 to 2022
$16.7M
Spatiotemporal patterns of neural activity and their role in perceptionR01EY028723 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI Lyle Edward Muller, JOHN H REYNOLDS · 2018 to 2026
$3.7M
Circuitry underlying response summation in mouse and primate: Theory and experimentU01NS108683 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BRUNEL, NICOLAS, MILLER, KENNETH D · 2018 to 2020
$2.8M
Probing perception and attention using primate optogeneticsR01EY021827 · NEI · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI REYNOLDS, JOHN H · 2011 to 2015
$2.3M
CRCNS: Theory-guided studies of cortical mechanisms of multi-input integrationR01EY029999 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MILLER, KENNETH D, VAN HOOSER, STEPHEN D · 2018 to 2020
$1.2M
NEI NIH HHS R01 EY021827NEI NIH HHS R01 EY028723NEI NIH HHS R01 EY029999NINDS NIH HHS U01 NS108683NINDS NIH HHS U19 NS107613
6 · The paper itself

Abstract

The ability to optogenetically perturb neural circuits opens an unprecedented window into mechanisms governing circuit function. We analyzed and theoretically modeled neuronal responses to visual and optogenetic inputs in mouse and monkey V1. In both species, optogenetic stimulation of excitatory neurons strongly modulated the activity of single neurons yet had weak or no effects on the distribution of firing rates across the population. Thus, the optogenetic inputs reshuffled firing rates across the network. Key statistics of mouse and monkey responses lay on a continuum, with mice/monkeys occupying the low-/high-rate regions, respectively. We show that neuronal reshuffling emerges generically in randomly connected excitatory/inhibitory networks, provided the coupling strength (combination of recurrent coupling and external input) is sufficient that powerful inhibitory feedback cancels the mean optogenetic input. A more realistic model, distinguishing tuned visual vs. untuned optogenetic input in a structured network, reduces the coupling strength needed to explain reshuffling.

Indexed as

OptogeneticsVisual CortexAnimalsHaplorhiniMiceNeuronsPhotic StimulationRandom Allocationexcitatory/inhibitory balancemonkeymousenetwork modeloptogenetic stimulationV1visionvisual cortex

Identifiers

PMID37865082
PMCPMC10841937

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.