Evidence map›Paper›PMID 28931611›Full record

ArticleJournal of neurophysiology2017

Feature-coding transitions to conjunction-coding with progression through human visual cortex.

Rosemary A Cowell, Krystal R Leger, John T Serences

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Stimulus variability and task relevance modulate binding-learning.Attention, perception & psychophysics · 2022
    Article
  5. An Emergent Population Code in Primary Auditory Cortex Supports Selective Attention to Spectral and Temporal Sound Features.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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.

Rosemary A CowellDepartment of Psychological and Brain Sciences, University of Massachusetts, Amherst, Massachusetts; rcowell@umass.edu.
Krystal R LegerDepartment of Psychological and Brain Sciences, University of Massachusetts, Amherst, Massachusetts.
John T SerencesDepartment of Psychology, University of California, San Diego, La Jolla, California; and.

Funding

Adaptive population codes for flexible visually-guided behaviorsR01EY025872 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI John T Serences · 2016 to 2026
$4.5M
Using fMRI to Measure the Neural-level Signals Underlying Population-level ResponsesRF1MH114277 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI COWELL, ROSEMARY ALICE, HUBER, DAVID ERNEST · 2017 to 2017
$2.4M
NEI NIH HHS R01 EY025872NIMH NIH HHS RF1 MH114277
6 · The paper itself

Abstract

Identifying an object and distinguishing it from similar items depends upon the ability to perceive its component parts as conjoined into a cohesive whole, but the brain mechanisms underlying this ability remain elusive. The ventral visual processing pathway in primates is organized hierarchically: Neuronal responses in early stages are sensitive to the manipulation of simple visual features, whereas neuronal responses in subsequent stages are tuned to increasingly complex stimulus attributes. It is widely assumed that feature-coding dominates in early visual cortex whereas later visual regions employ conjunction-coding in which object representations are different from the sum of their simple feature parts. However, no study in humans has demonstrated that putative object-level codes in higher visual cortex cannot be accounted for by feature-coding and that putative feature codes in regions prior to ventral temporal cortex are not equally well characterized as object-level codes. Thus the existence of a transition from feature- to conjunction-coding in human visual cortex remains unconfirmed, and if a transition does occur its location remains unknown. By employing multivariate analysis of functional imaging data, we measure both feature-coding and conjunction-coding directly, using the same set of visual stimuli, and pit them against each other to reveal the relative dominance of one vs. the other throughout cortex. Our results reveal a transition from feature-coding in early visual cortex to conjunction-coding in both inferior temporal and posterior parietal cortices. This novel method enables the use of experimentally controlled stimulus features to investigate population-level feature and conjunction codes throughout human cortex.

Indexed as

Visual PerceptionAdultConnectomeFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleVisual Cortexconjunctionfeatureneuroimagingobject representationsvisual cortex

Identifiers

PMID28931611
PMCPMC5814713

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.