DocumentCode
2286329
Title
Time as coding space for information processing in the cerebral cortex
Author
Singer, Wolf
Author_Institution
Max Planck Inst. for Brain Res., Frankfurt/Main, Germany
fYear
2002
fDate
22-24 Jul 2002
Firstpage
209
Lastpage
227
Abstract
Psychophysical and neurophysiological evidence indicates that the brain identifies perceptual objects by decomposing them into components by analyzing the relations among the respective components and representing in a combined code the components and their specific relations. This is an efficient strategy for two reasons. First, it permits unambiguous descriptions of a virtually unlimited number of perceptual objects with a limited set of symbols for components and relations. Second, it can be scaled and applied also for the description of complex constellations, i.e. for the infinite variety of contextual configurations in which perceptual objects can occur. Linguistic descriptions follow the same principle. By recombining in ever changing configurations a rather limited set of symbols for components, properties and relations, a virtually inexhaustible universe of constellations can be encoded. However, there is an interesting trade-off between the complexity of the symbols and the syntactic rules required for the definition of relations.
Keywords
neural nets; neurophysiology; object recognition; physiological models; brain; cerebral cortex; coding space; complex constellations; contextual configurations; information processing; neurophysiological evidence; perceptual object decomposition; perceptual object identification; psychophysical evidence; Bioinformatics; Cerebral cortex; Costs; Explosions; Genomics; Hardware; Information processing; Neurons; Psychology; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN
981-238-121-X
Type
conf
DOI
10.1109/CNNA.2002.1035055
Filename
1035055
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