Source:http://linkedlifedata.com/resource/pubmed/id/16040079
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
25-26
|
| pubmed:dateCreated |
2005-10-31
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| pubmed:abstractText |
We propose that the effects of attentional top-down modulations observed in the visual cortex reflect the simple strategy of strengthening currently relevant pathways in a task-dependent manner. To exemplify this idea, we set up a network model of a visual area and simulate the learning of a context-dependent 'go/no-go'-task. The model learns top-down gain-modulations of sensory representations based on reinforcements received from the environment. We also discuss how this idea relates to alternative interpretations like optimal coding hypotheses.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Nov
|
| pubmed:issn |
0042-6989
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| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
45
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
3202-9
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| pubmed:dateRevised |
2006-11-15
|
| pubmed:meshHeading |
pubmed-meshheading:16040079-Adaptation, Physiological,
pubmed-meshheading:16040079-Algorithms,
pubmed-meshheading:16040079-Attention,
pubmed-meshheading:16040079-Humans,
pubmed-meshheading:16040079-Models, Neurological,
pubmed-meshheading:16040079-Models, Psychological,
pubmed-meshheading:16040079-Photic Stimulation,
pubmed-meshheading:16040079-Visual Cortex,
pubmed-meshheading:16040079-Visual Pathways,
pubmed-meshheading:16040079-Visual Perception
|
| pubmed:year |
2005
|
| pubmed:articleTitle |
Learning top-down gain control of feature selectivity in a recurrent network model of a visual cortical area.
|
| pubmed:affiliation |
Berlin University of Technology, Department of Computer Science and Electrical Engineering, Franklin Str. 28/29, 10587 Berlin, Germany. schwabe@cs.tu-berlin.de
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|