DocumentCode
3494655
Title
Statistical models and sensory attention
Author
Dayan, Peter ; Zemel, Richard S.
Author_Institution
GCNU, London, UK
Volume
2
fYear
1999
fDate
1999
Firstpage
1017
Abstract
Physiological investigations into the neural basis of sensory attention have led to puzzling and contradictory results. Attention can seemingly lead to increased, decreased and unchanged neural activities, according to features of attentional experiments that are not well understood. We take one particular case in which activities increase as a result of attention, model its possible statistical underpinning, and relate our model to other attentional suggestions. Increased activities in population codes are associated with increased certainty about the encoded quantities. This increased certainty has to come from somewhere; in our model it emerges from particular changes in the model´s processing strategy
Keywords
neurophysiology; neural activities; sensory attention; statistical models;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location
Edinburgh
ISSN
0537-9989
Print_ISBN
0-85296-721-7
Type
conf
DOI
10.1049/cp:19991246
Filename
818071
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