• DocumentCode
    1903264
  • Title

    Calculus relations in spatial summation and determination of macro connection in neuronal networks

  • Author

    Zhang, C.N. ; Wang, M. ; Yao, G.Z.

  • Author_Institution
    Dept. of Comput. Sci., Regina Univ., Sask., Canada
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    365
  • Abstract
    A concept of macro connection as an analytic representation for the interactions between any two neurons or neuronal groups is proposed. Based on this concept, the neuronal interactions are investigated at two levels, i.e., the synaptic connections and macro connections. The efficacy of macro connection is explicitly represented and quantitatively determined by the efficacies of the constitutent synapses. This issue is addressed through a calculus approach to obtain an analytical expression for spatial summation properties of a single cell. It is shown that the spatial summation processes in a single cell are, to a large extent, governed by the rules of differential calculus, and that the total differential form is meaningful from the range of subcellular and cellular levels through the level of local networks. As an application of the authors´ result, a computational method is proposed for the receptive field and projective field of single cells which, in the sense of medium-term average, can quantitatively give these macro functionally significant units a constructive explanation in terms of the contributive micro components
  • Keywords
    differentiation; neural nets; calculus approach; cellular levels; differential calculus; macro connection; neuronal groups; neuronal networks; projective field; receptive field; spatial summation; subcellular levels; synaptic connections; total differential form; Biological neural networks; Biomembranes; Biophysics; Calculus; Central nervous system; Computer science; Computer simulation; Differential equations; Intelligent networks; Reliability theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993., IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0999-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1993.298584
  • Filename
    298584