• 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