» Articles » PMID: 17569863

Neural Mechanisms of Visual Attention: How Top-down Feedback Highlights Relevant Locations

Overview
Journal Science
Specialty Science
Date 2007 Jun 16
PMID 17569863
Citations 187
Authors
Affiliations
Soon will be listed here.
Abstract

Attention helps us process potentially important objects by selectively increasing the activity of sensory neurons that represent the relevant locations and features of our environment. This selection process requires top-down feedback about what is important in our environment. We investigated how parietal cortical output influences neural activity in early sensory areas. Neural recordings were made simultaneously from the posterior parietal cortex and an earlier area in the visual pathway, the medial temporal area, of macaques performing a visual matching task. When the monkey selectively attended to a location, the timing of activities in the two regions became synchronized, with the parietal cortex leading the medial temporal area. Parietal neurons may thus selectively increase activity in earlier sensory areas to enable focused spatial attention.

Citing Articles

Cortical Morphology Alterations Mediate the Relationship Between Glymphatic System Function and the Severity of Asthenopia.

Chen Y, Xu J, Kong Y, Kang Y, Gong Z, Wang H Int J Biomed Imaging. 2025; 2025:4464776.

PMID: 40041480 PMC: 11879604. DOI: 10.1155/ijbi/4464776.


Comparing structure-function relationships in brain networks using EEG and fNIRS.

Blanco R, Preti M, Koba C, Van De Ville D, Crimi A Sci Rep. 2024; 14(1):28976.

PMID: 39578593 PMC: 11584861. DOI: 10.1038/s41598-024-79817-x.


Distributed network flows generate localized category selectivity in human visual cortex.

Cocuzza C, Sanchez-Romero R, Ito T, Mill R, Keane B, Cole M PLoS Comput Biol. 2024; 20(10):e1012507.

PMID: 39436929 PMC: 11530028. DOI: 10.1371/journal.pcbi.1012507.


A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots.

Bergoin R, Boucenna S, DUrso R, Cohen D, Pitti A Sci Rep. 2024; 14(1):20492.

PMID: 39242623 PMC: 11379723. DOI: 10.1038/s41598-024-69245-2.


Linking cortical surface area to computational properties in human visual perception.

Murray S, Kolodny T, Webb S iScience. 2024; 27(8):110490.

PMID: 39148711 PMC: 11325354. DOI: 10.1016/j.isci.2024.110490.