• DocumentCode
    285281
  • Title

    Modeling phase synchronization in a biologically-based network

  • Author

    Selverston, A.I. ; Rowat, P.F.

  • Author_Institution
    Dept. of Biol., California Univ., La Jolla, CA, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    396
  • Abstract
    The phase relationships between motorneuron firing in invertebrate central pattern generators (CPGs) determine the sequence of muscle contractions and therefore the behavior of the animal. In the lobster stomatogastric ganglion, all of the neurons comprising two CPGs were identified. Physiologically determined parameters from identified neurons were incorporated in a new biophysically based model. To study the role of reciprocal inhibition the most common type of synaptic interaction in the CPGs, chains of neurons and 5×5 matrices, both with reciprocal inhibitory connections, were modeled. Oscillatory neurons at the ends of long odd-numbered chains could be brought into synchronization very rapidly. Pairs of oscillatory neurons embedded in the matrix, but bursting at different frequencies, became entrained at intermediate frequencies and phase relationships. The results suggest a mechanism for producing CPG motor patterns
  • Keywords
    muscle; neural nets; physiological models; biologically-based network; invertebrate central pattern generators; lobster stomatogastric ganglion; motorneuron firing; muscle contractions; oscillatory neurons; phase synchronization; reciprocal inhibition; synaptic interaction; Biological information theory; Biological system modeling; Circuits; Fires; Frequency synchronization; Intelligent networks; Muscles; Nervous system; Neurons; Spatiotemporal phenomena;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.227142
  • Filename
    227142