Cited by 350Neural dynamics and brain functionVisual perception and processing mechanismsNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 51 of the 56 references it cites were found in a registry or an index.

Variance as a Signature of Neural Computations during Decision Making

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Abstract

Traditionally, insights into neural computation have been furnished by averaged firing rates from many stimulus repetitions or trials. We pursue an analysis of neural response variance to unveil neural computations that cannot be discerned from measures of average firing rate. We analyzed single-neuron recordings from the lateral intraparietal area (LIP), during a perceptual decision-making task. Spike count variance was divided into two components using the law of total variance for doubly stochastic processes: (1) variance of counts that would be produced by a stochastic point process with a given rate, and loosely (2) the variance of the rates that would produce those counts (i.e., "conditional expectation"). The variance and correlation of the conditional expectation exposed several neural mechanisms: mixtures of firing rate states preceding the decision, accumulation of stochastic "evidence" during decision formation, and a stereotyped response at decision end. These analyses help to differentiate among several alternative decision-making models.

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Metadata

Authors
Churchland, A. K., Kiani, R., Chaudhuri, R., Wang, X.-J., Pouget, A., & Shadlen, M. N.
Affiliations
  • University of Washington (US)
  • Howard Hughes Medical Institute (US)
  • Yale University (US)
  • University of Rochester (US)
Corresponding author
Churchland, Anne. K.
Venue
Neuron
Publisher
Elsevier BV
Published
2011-02
Volume
69
Issue
4
Pages
818-831
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2105007656
Cited by
350
References
56
Citations by year
2026: 7 · 2025: 19 · 2024: 27 · 2023: 15 · 2022: 20 · 2021: 25 · 2020: 21 · 2019: 20 · 2018: 20 · 2017: 22 · 2016: 30 · 2015: 35 · 2014: 28 · 2013: 20 · 2012: 33
FWCI
14.30
Type
journal article
Language
en
Open access
Locations
  • Neuron (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
Funders
  • Howard Hughes Medical Institute
  • James S. McDonnell Foundation (P30 EY001319)
  • National Institutes of Health (RR001 66, EY001319)
  • U.S. Public Health Service (BCS0346785)
  • Multidisciplinary University Research Initiative (N00014-07-1-0937)
  • National Institute of Mental Health (MH 062349, R01MH062349)
  • National Institute on Drug Abuse (DA022780, R01DA022780)
  • National Eye Institute (EY011378, EY019072, R00EY019072, K99EY019072, R01EY011378, P30EY001319)
  • National Center for Research Resources (RR00166, P51RR000166)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
perceptual decision making, lateral intraparietal area, law of total variance, doubly stochastic processes, conditional expectation, single-unit recording, decision models
MeSH terms
Action Potentials, Animals, Haplorhini, Computer Simulation, Decision Making, Models, Neurological, Motion Perception, Neurons, Numerical Analysis, Computer-Assisted, Photic Stimulation, Reaction Time, Statistics as Topic, Stochastic Processes, Time Factors

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