Evidence map›Paper›PMID 29192127›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018

Compressive Temporal Summation in Human Visual Cortex.

Jingyang Zhou, Noah C Benson, Kendrick N Kay, Jonathan Winawer

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Jingyang ZhouDepartment of Psychology, New York University, New York, New York 10003, jingyang.zhou@nyu.edu.ORCID 0000-0003-1933-8143
Noah C BensonDepartment of Psychology, New York University, New York, New York 10003.ORCID 0000-0002-2365-8265
Kendrick N KayDepartment of Radiology, University of Minnesota-Twin Cities, Minneapolis, Minnesota 55414, and.ORCID 0000-0001-6604-9155
Jonathan WinawerDepartment of Psychology, New York University, New York, New York 10003.ORCID 0000-0001-7475-5586
New York University · USUniversity of Minnesota · US

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI MOVSHON, J ANTHONY · 2000 to 2025
$14.2M
Development and validation of empirical models of the neuronal population activity underlying non-invasive human brain measurementsR01MH111417 · NIMH · UNIVERSITY MEDICAL CENTER UTRECHT · PI DEVINSKY, ORRIN, DIJKHUIZEN, RICK M · 2016 to 2020
$4.4M
Multimodal Imaging of Spatiotemporal Integration in the Human Visual SystemR00EY022116 · NEI · NEW YORK UNIVERSITY · PI WINAWER, JONATHAN A · 2013 to 2015
$718k
NEI NIH HHS P30 EY013079NEI NIH HHS R00 EY022116NIMH NIH HHS R01 MH111417
6 · The paper itself

Abstract

Combining sensory inputs over space and time is fundamental to vision. Population receptive field models have been successful in characterizing spatial encoding throughout the human visual pathways. A parallel question, how visual areas in the human brain process information distributed over time, has received less attention. One challenge is that the most widely used neuroimaging method, fMRI, has coarse temporal resolution compared with the time-scale of neural dynamics. Here, via carefully controlled temporally modulated stimuli, we show that information about temporal processing can be readily derived from fMRI signal amplitudes in male and female subjects. We find that all visual areas exhibit subadditive summation, whereby responses to longer stimuli are less than the linear prediction from briefer stimuli. We also find fMRI evidence that the neural response to two stimuli is reduced for brief interstimulus intervals (indicating adaptation). These effects are more pronounced in visual areas anterior to V1-V3. Finally, we develop a general model that shows how these effects can be captured with two simple operations: temporal summation followed by a compressive nonlinearity. This model operates for arbitrary temporal stimulation patterns and provides a simple and interpretable set of computations that can be used to characterize neural response properties across the visual hierarchy. Importantly, compressive temporal summation directly parallels earlier findings of compressive spatial summation in visual cortex describing responses to stimuli distributed across space. This indicates that, for space and time, cortex uses a similar processing strategy to achieve higher-level and increasingly invariant representations of the visual world.

Indexed as

Models, NeurologicalAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTimeVisual CortexVisual PerceptionYoung AdultadaptationfMRIpopulation receptive fieldstemporal summationvisual cortexvisual hierarchy

Identifiers

PMID29192127
PMCPMC5777115
OpenAlexW2952182547

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.