Evidence map›Paper›PMID 31753580›Full record

ArticleNeuron2020

Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning.

Farzaneh Najafi, Gamaleldin F Elsayed, Robin Cao, Eftychios Pnevmatikakis, Peter E Latham, John P Cunningham, Anne K Churchland

Abstract read
In one paragraph

Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

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  11. Neural Oscillation as a Selective Modulatory Mechanism on Decision Confidence, Speed, and Accuracy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
  13. Integrated Ising model with global inhibition for decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
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10 more citing papers are in PubMed but not listed here.

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

7 authors.

Farzaneh NajafiCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Gamaleldin F ElsayedNeuroscience, Columbia University, New York, NY 10027, USA.
Robin CaoGatsby Computational Neuroscience Unit, University College London, London, UK.
Eftychios PnevmatikakisFlatiron Institute, New York, NY, USA.
Peter E LathamGatsby Computational Neuroscience Unit, University College London, London, UK.
John P CunninghamStatistics, Columbia University, New York, NY 10010, USA.
Anne K ChurchlandCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA. Electronic address: achurchl@cshl.edu.

Funding

The role of parietal cortex in multisensory decision-makingR01EY022979 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNE KATHRYN CHURCHLAND · 2013 to 2026
$5.7M
NEI NIH HHS R01 EY022979
6 · The paper itself

Abstract

Inhibitory neurons, which play a critical role in decision-making models, are often simplified as a single pool of non-selective neurons lacking connection specificity. This assumption is supported by observations in the primary visual cortex: inhibitory neurons are broadly tuned in vivo and show non-specific connectivity in slice. The selectivity of excitatory and inhibitory neurons within decision circuits and, hence, the validity of decision-making models are unknown. We simultaneously measured excitatory and inhibitory neurons in the posterior parietal cortex of mice judging multisensory stimuli. Surprisingly, excitatory and inhibitory neurons were equally selective for the animal's choice, both at the single-cell and population level. Further, both cell types exhibited similar changes in selectivity and temporal dynamics during learning, paralleling behavioral improvements. These observations, combined with modeling, argue against circuit architectures assuming non-selective inhibitory neurons. Instead, they argue for selective subnetworks of inhibitory and excitatory neurons that are shaped by experience to support expert decision-making.

Indexed as

AnimalsDecision MakingGlutamate DecarboxylaseLearningMiceMice, TransgenicModels, NeurologicalNerve NetNeural InhibitionNeuronsParietal LobeGlutamate Decarboxylaseglutamate decarboxylase 2

Identifiers

PMID31753580
PMCPMC6952547

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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.