• DocumentCode
    1579590
  • Title

    An algorithm of selective perception and analysis of environmental information by a neural network under the influence of inner afferentation

  • Author

    Sukhov, A.G. ; Rabinovich, Z.L.

  • Author_Institution
    A.B. Kogan Res. Inst. for Neurocybern., Rostov State Univ., Russia
  • fYear
    1992
  • Firstpage
    1140
  • Abstract
    The concept of a two-level (cortical and subcortical) four-step algorithm underlying the process of conditional learning has been developed. This algorithm makes use of both the ascending afferent pathways to the cortex and the reverse corticofugal influence on subcortical structures
  • Keywords
    brain models; information analysis; neural nets; visual perception; 2-level 4-step algorithm; ascending afferent pathways; conditional learning; cortex; cortical level; environmental information analysis; inner afferentation; neural network; reverse corticofugal influence; selective perception; subcortical level; Algorithm design and analysis; Animals; Automatic control; Biology; Convergence; Cybernetics; Information analysis; Neural networks; Neurons; Organisms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
  • Conference_Location
    Rostov-on-Don
  • Print_ISBN
    0-7803-0809-3
  • Type

    conf

  • DOI
    10.1109/RNNS.1992.268622
  • Filename
    268622
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1579590