Evidence map›Paper›PMID 35610048›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

How Stimulus Statistics Affect the Receptive Fields of Cells in Primary Visual Cortex.

Ali Almasi, Shi Hai Sun, Molis Yunzab, Young Jun Jung, Hamish Meffin, Michael R Ibbotson

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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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

6 authors at 2 institutions in 1 country.

Ali AlmasiNational Vision Research Institute, Carlton, Victoria 3053, Australia.
Shi Hai SunNational Vision Research Institute, Carlton, Victoria 3053, Australia.
Molis YunzabNational Vision Research Institute, Carlton, Victoria 3053, Australia.
Young Jun JungNational Vision Research Institute, Carlton, Victoria 3053, Australia.
Hamish MeffinDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia hmeffin@unimelb.edu.au.ORCID https://orcid.org/0000-0003-4307-6841
Michael R IbbotsonNational Vision Research Institute, Carlton, Victoria 3053, Australia.
Vision Australia · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied the changes that neuronal receptive field (RF) models undergo when the statistics of the stimulus are changed from those of white Gaussian noise (WGN) to those of natural scenes (NSs), by fitting the models to multielectrode data recorded from primary visual cortex (V1) of female cats. This allowed the estimation of both a cascade of linear filters on the stimulus, as well as the static nonlinearities that map the output of the filters to the neuronal spike rates. We found that cells respond differently to these two classes of stimuli, with mostly higher spike rates and shorter response latencies to NSs than to WGN. The most striking finding was that NSs resulted in RFs that had additional uncovered filters compared with WGN. This finding was not an artifact of the higher spike rates observed for NSs relative to WGN, but rather was related to a change in coding. Our results reveal a greater extent of nonlinear processing in V1 neurons when stimulated using NSs compared with WGN. Our findings indicate the existence of nonlinear mechanisms that endow V1 neurons with context-dependent transmission of visual information.

Indexed as

Visual CortexVisual FieldsAnimalsFemalePhotic StimulationPrimary Visual CortexVisual Perceptionadaptationdata-driven modelingprimary visual cortexreceptive fieldstimulus statisticsvisual information processing

Identifiers

PMID35610048
PMCPMC9236288
OpenAlexW4281398980

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.