Evidence map›Paper›PMID 31235648›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Predicting Perceptual Decisions Using Visual Cortical Population Responses and Choice History.

Anna Ivic Jasper, Seiji Tanabe, Adam Kohn

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

18 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Synchronous Rhythmic Activity in Area V4 Can Impair Shape Detection and Neuronal Reliability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
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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

3 authors at 1 institution in 1 country.

Anna Ivic JasperDominick Purpura Department of Neuroscience.
Seiji TanabeDominick Purpura Department of Neuroscience.
Adam KohnDominick Purpura Department of Neuroscience, adam.kohn@einstein.yu.edu.
Albert Einstein College of Medicine · US

Funding

Visual Cortical AdaptationR01EY016774 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KOHN, ADAM · 2008 to 2017
$3.7M
Visual CrowdingR01EY028626 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KOHN, ADAM · 2018 to 2022
$2.4M
NEI NIH HHS R01 EY016774NEI NIH HHS R01 EY028626
6 · The paper itself

Abstract

Our understanding of the neural basis of perceptual decision making has been built in part on relating co-fluctuations of single neuron responses to perceptual decisions on a trial-by-trial basis. The strength of this relationship is often compared across neurons or brain areas, recorded in different sessions, animals, or variants of a task. We sought to extend our understanding of perceptual decision making in three ways. First, we measured neuronal activity simultaneously in early [primary visual cortex (V1)] and midlevel (V4) visual cortex while macaque monkeys performed a fine orientation discrimination perceptual task. This allowed a direct comparison of choice signals in these two areas, including their dynamics. Second, we asked how our ability to predict animals' decisions would be improved by considering small simultaneously-recorded neuronal populations rather than individual units. Finally, we asked whether predictions would be improved by taking into account the animals' choice and reward histories, which can strongly influence decision making. We found that responses of individual V4 neurons were weakly predictive of decisions, but only in a brief epoch between stimulus offset and the indication of choice. In V1, few neurons showed significant decision-related activity. Analysis of neuronal population responses revealed robust choice-related information in V4 and substantially weaker signals in V1. Including choice- and reward-history information improved performance further, particularly when the recorded populations contained little decision-related information. Our work shows the power of using neuronal populations and decision history when relating neuronal responses to the perceptual decisions they are thought to underlie.

Indexed as

AnimalsConditioning, OperantDecision MakingDiscrimination, PsychologicalEye MovementsFixation, OcularMacaca mulattaMaleNeuronsOrientationRewardVisual CortexVisual Perceptionchoice signalsperceptual decision makingvisual cortex

Identifiers

PMID31235648
PMCPMC6703876
OpenAlexW2955844170

What OpenQuestion holds

Textmetadata
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.