• DocumentCode
    2330273
  • Title

    Response space construction for neural error correction

  • Author

    Stiber, Michael ; Pottorf, Mark

  • Author_Institution
    Comput. & Software Syst., Washington Univ., Bothell, WA, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    3201
  • Abstract
    A physiological neuron model that incorporates the recognized prototype of an inhibitory synapse was analyzed in terms of the effects of isolated inhibitory post-synaptic potentials on its ongoing behavior. The nonstationary, transient activity resulting from these perturbations cannot be analyzed in terms of motion on some attractor (because of long-duration aftereffects) nor linearized (as the perturbations are large). Instead, results suggest that changes in the value of either of the system´s slow state variables may be used to construct a global response space, within which all attractors and nonstationary behaviors exist.
  • Keywords
    biology computing; neural nets; physiological models; attractors; inhibitory synapse; neural error correction; physiological neuron model; response space construction; Biomembranes; Chaotic communication; Equations; Error correction; Error correction codes; Neurons; Software prototyping; Software systems; Timing; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • Conference_Location
    Budapest
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1381189
  • Filename
    1381189