Document Detail

A unified and quantitative network model for spatial attention in area V4.
MedLine Citation:
PMID:  19941956     Owner:  NLM     Status:  MEDLINE    
Electrophysiological experiments in visual area V4 have shown that spatial attention induces a number of neural activity modulations. Depending on the stimulus characteristics, neuronal firing rates either increase or decrease. At the network level, the oscillatory activity in the gamma frequency range (30-70Hz) is enhanced by attention. Recently, pyramidal neurons and interneurons have been surmised to respond differently, but have been shown to have both a high firing variability. These results raise the question of the nature of the modulatory attentional input to V4 and of the network mechanisms that lead to the emergence of these different modulations. Here, we propose a biophysical network model of V4. We first reproduce the neural activity observed in response to different stimulus configurations. We found that different forms of the attentional input are possible, and that this fact could explain the observed multiplicity of modulations when stimulus contrast is varied. Our model offers a unified and quantitative picture, from which the cognitive roles played by these attentional modulations can be investigated.
Etienne Hugues; Jorge V Jos?
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-11-23
Journal Detail:
Title:  Journal of physiology, Paris     Volume:  104     ISSN:  1769-7115     ISO Abbreviation:  J. Physiol. Paris     Publication Date:    2010 Jan-Mar
Date Detail:
Created Date:  2010-03-01     Completed Date:  2010-05-26     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9309351     Medline TA:  J Physiol Paris     Country:  France    
Other Details:
Languages:  eng     Pagination:  84-90     Citation Subset:  IM    
Copyright Information:
2009 Elsevier Ltd. All rights reserved.
Department of Physics, SUNY at Buffalo, NY 14260, USA.
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MeSH Terms
Attention / physiology*
Membrane Potentials / physiology
Models, Neurological*
Nerve Net / physiology
Neural Networks (Computer)
Neurons / classification,  physiology*
Photic Stimulation / methods
Space Perception / physiology*
Synaptic Transmission / physiology
Visual Cortex / cytology,  physiology*
Visual Pathways / physiology

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