Document Detail


Spatio-temporal prediction and inference by V1 neurons.
MedLine Citation:
PMID:  17714195     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In normal vision, visual scenes are predictable, as they are both spatially and temporally redundant. Evidence suggests that the visual system may use the spatio-temporal regularities of the external world, available in the retinal signal, to extract information from the visual environment and better reconstruct current and future stimuli. We studied this by recording neuronal responses of primary visual cortex (area V1) in anaesthetized and paralysed macaques during the presentation of dynamic sequences of bars, in which spatio-temporal regularities and local information were independently manipulated. Most V1 neurons were significantly modulated by events prior to and distant from stimulation of their classical receptive fields (CRFs); many were more strongly tuned to prior and distant events than they were to CRFs bars; and several showed tuning to prior information without any CRF stimulation. Hence, V1 neurons do not simply analyse local contours, but impute local features to the visual world, on the basis of prior knowledge of a visual world in which useful information can be distributed widely in space and time.
Authors:
Kun Guo; Robert G Robertson; Maribel Pulgarin; Angel Nevado; Stefano Panzeri; Alexander Thiele; Malcolm P Young
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The European journal of neuroscience     Volume:  26     ISSN:  0953-816X     ISO Abbreviation:  Eur. J. Neurosci.     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-08-23     Completed Date:  2007-10-25     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8918110     Medline TA:  Eur J Neurosci     Country:  France    
Other Details:
Languages:  eng     Pagination:  1045-54     Citation Subset:  IM    
Affiliation:
Department of Psychology, Henry Wellcome Building for Neuroecology, University of Newcastle, Newcastle upon Tyne, UK.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Anesthesia
Animals
Brain Mapping
Data Interpretation, Statistical
Electrodes, Implanted
Extracellular Space / physiology
Macaca mulatta
Microelectrodes
Motion Perception / physiology
Neurons / physiology*
Orientation / physiology
Photic Stimulation
Space Perception / physiology*
Time Perception / physiology*
Visual Cortex / cytology,  physiology*
Visual Fields / physiology
Grant Support
ID/Acronym/Agency:
//Wellcome Trust

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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