Evidence map›Paper›PMID 36379216›Full record

ArticleCurrent biology : CB2022

Feature representation under crowding in macaque V1 and V4 neuronal populations.

Christopher A Henry, Adam Kohn

Abstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Human V4 size predicts crowding distance.Nature communications · 2025
    Article
  5. Article
  6. Article
  7. Neural Correlates of Crowding in Macaque Area V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Review
  9. Neural correlates of crowding in macaque area V4.bioRxiv : the preprint server for biology · 2023
    Article
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

2 authors.

Christopher A HenryDominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA. Electronic address: christopher.aaron.henry@gmail.com.
Adam KohnDominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA. Electronic address: adam.kohn@einsteinmed.edu.

Funding

Visual CrowdingR01EY028626 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KOHN, ADAM · 2018 to 2022
$2.4M
Decoding Population Activity During Sensory AdaptationF32EY023926 · NEI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HENRY, CHRISTOPHER A. · 2013 to 2015
$131k
NEI NIH HHS F32 EY023926NEI NIH HHS R01 EY028626
6 · The paper itself

Abstract

Visual perception depends strongly on spatial context. A profound example is visual crowding, whereby the presence of nearby stimuli impairs the discriminability of object features. Despite extensive work on perceptual crowding and the spatial integrative properties of visual cortical neurons, the link between these two aspects of visual processing remains unclear. To understand better the neural basis of crowding, we recorded activity simultaneously from neuronal populations in V1 and V4 of fixating macaque monkeys. We assessed the information available from the measured responses about the orientation of a visual target both for targets presented in isolation and amid distractors. Both single neuron and population responses had less information about target orientation when distractors were present. Information loss was moderate in V1 and more substantial in V4. Information loss could be traced to systematic divisive and additive changes in neuronal tuning. Additive and multiplicative changes in tuning were more severe in V4; in addition, tuning exhibited other, non-affine transformations that were greater in V4, further restricting the ability of a fixed sensory readout strategy to extract accurate feature information across displays. Our results provide a direct test of crowding effects at different stages of the visual hierarchy. They reveal how crowded visual environments alter the spiking activity of cortical populations by which sensory stimuli are encoded and connect these changes to established mechanisms of neuronal spatial integration.

Indexed as

MacacaNeuronsAnimalscrowdingperceptionpopulation decodingspatial contextspatial integrationvisual cortex

Identifiers

PMID36379216
PMCPMC9729449

What OpenQuestion holds

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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.