Evidence map›Paper›PMID 29256863›Full record

ArticleeLife2017

Paradoxical response reversal of top-down modulation in cortical circuits with three interneuron types.

Luis Carlos Garcia Del Molino, Guangyu Robert Yang, Jorge F Mejias, Xiao-Jing Wang

Erratum issuedAbstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  12. Top-down modulation in canonical cortical circuits with short-term plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. A disinhibitory circuit mechanism explains a general principle of peak performance during mid-level arousal.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Connectivity concepts in neuronal network modeling.PLoS computational biology · 2022
    Review
  17. Article
  18. Article
  19. A circuit mechanism for independent modulation of excitatory and inhibitory firing rates after sensory deprivation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. A Cortico-Cortical Pathway Targets Inhibitory Interneurons and Modulates Paw Movement during Locomotion in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Luis Carlos Garcia Del MolinoCenter for Neural Science, New York University, New York, United States.ORCID http://orcid.org/0000-0001-9934-9461
Guangyu Robert YangCenter for Neural Science, New York University, New York, United States.ORCID http://orcid.org/0000-0002-8919-4248
Jorge F MejiasCenter for Neural Science, New York University, New York, United States.ORCID http://orcid.org/0000-0002-8096-4891
Xiao-Jing WangCenter for Neural Science, New York University, New York, United States.ORCID http://orcid.org/0000-0003-3124-8474

Funding

Recurrent Neual Circuit Basis of Time Integration and Decision MakingR01MH062349 · NIMH · YALE UNIVERSITY · PI WANG, XIAO-JING · 2001 to 2022
$7.2M
NIH Blueprint for Neuroscience Research R01MH062349NIMH NIH HHS R01 MH062349Office of Naval Research N00014-17-1-2041Science and Technology Commission of Shanghai Municipality 14JC1404900Science and Technology Commission of Shanghai Municipality 15JC1400104
6 · The paper itself

Abstract

Pyramidal cells and interneurons expressing parvalbumin (PV), somatostatin (SST), and vasoactive intestinal peptide (VIP) show cell-type-specific connectivity patterns leading to a canonical microcircuit across cortex. Experiments recording from this circuit often report counterintuitive and seemingly contradictory findings. For example, the response of SST cells in mouse V1 to top-down behavioral modulation can change its sign when the visual input changes, a phenomenon that we call response reversal. We developed a theoretical framework to explain these seemingly contradictory effects as emerging phenomena in circuits with two key features: interactions between multiple neural populations and a nonlinear neuronal input-output relationship. Furthermore, we built a cortical circuit model which reproduces counterintuitive dynamics observed in mouse V1. Our analytical calculations pinpoint connection properties critical to response reversal, and predict additional novel types of complex dynamics that could be tested in future experiments.

Indexed as

AnimalsCerebral CortexInterneuronsMiceModels, NeurologicalNerve NetPyramidal Cellsinterneuronsmousemouse V1neural circuitneurosciencetop-down modulation

Identifiers

PMID29256863
PMCPMC5777826

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.