Cited by 188Neural dynamics and brain functionVisual perception and processing mechanismsNeuroscience and Neuropharmacology Research

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Learning and attention reveal a general relationship between population activity and behavior

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Ni, A. M., Ruff, D. A., Alberts, J. J., Symmonds, J., Cohen, M. R.·2018·Science

DOI 10.1126/science.aao0284PMC PMC6571104

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Abstract

The neuronal population is the key unit: The responses of pairs of neurons to repeated presentations of the same stimulus are typically correlated, and an identical neuronal population can perform many functions. This suggests that the relevant units of computation are not single neurons but subspaces of the complete population activity. To test this idea, Ni et al. measured the relationship between neuronal population activity and performance in monkeys. They investigated attention, which improves perception of attended stimuli, and perceptual learning, which improves perception of well-practiced stimuli. These two processes operate on different time scales and are usually studied using different perceptual tasks. Manipulation of attention and learning in the same behavioral trials and the same neuronal populations revealed the dimensions of population activity that matter most for behavior. Science , this issue p. 463

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Authors: Ni, A. M., Ruff, D. A., Alberts, J. J., Symmonds, J., & Cohen, M. R.
Affiliations: University of Pittsburgh (US)
Corresponding author: Cohen, M. R.
ORCID: Ni, A. M.
Ruff, D. A.
Alberts, J. J.
Symmonds, J.
Cohen, M. R.
Venue: Science
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2018-01-26
Volume: 359
Issue: 6374
Pages: 463-465
ISSN: 0036-8075 (ISSN-L)
1095-9203
DOI: 10.1126/science.aao0284
PMC: PMC6571104
OpenAlex: W2785016696
Cited by: 188
References: 22
Citations by year: 2026: 21 · 2025: 12 · 2024: 13 · 2023: 23 · 2022: 21 · 2021: 39 · 2020: 23 · 2019: 22 · 2018: 11
FWCI: 14.03
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Science (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (4R00EY020844-03, R01 EY022930, Core Grant P30 EY008098s)
McKnight Endowment Fund for Neuroscience
Alfred P. Sloan Foundation
Simons Foundation
Esther A. and Joseph Klingenstein Fund
Whitehall Foundation
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords: correlated variability, population activity, perceptual learning, attention, behavioral performance, decision-making, trial-to-trial variability, perceptual performance
MeSH terms: Animals, Haplorhini, Attention, Behavior, Evoked Potentials, Learning, Male, Neurons, Perception

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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What counts as a claim ›How we measure confidence ›How we check this ›

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Learning and attention reveal a general relationship between population activity and behavior

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