• DocumentCode
    285160
  • Title

    Biological learning with cytoskeletal signaling

  • Author

    Dayhoff, Judith E. ; Hameroff, Stuart R. ; Swenberg, Charles E. ; Lahoz-Beltra, Rafael ; Samsonovich, Alexi

  • Author_Institution
    Syst. Res. Center, Maryland Univ., College Park, MD, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    45
  • Abstract
    Cytoskeletal signaling provides a medium for internal neuronal signaling that could play a key role in biological learning. Signaling within a neuron along microtubules is plausible according to a number of theoretical models and experimental observations. If used by biological neurons, this type of signaling would provide the missing link for the biological implementation of many learning models, including back-error propagation. Back-error propagation is widely used and demonstration of its plausibility allows uniting artificial learning models with realistic neural models. Additional learning models can be modeled with biologically plausible mechanisms that involve internal cytoskeletal signaling, such as the sigma-pi architecture. Biologically plausible implementations of these learning models are described
  • Keywords
    learning systems; neural nets; back-error propagation; biological learning; cytoskeletal signaling; internal neuronal signaling; learning models; sigma-pi architecture; Artificial neural networks; Biological system modeling; Biological systems; Biology; Educational institutions; Nerve fibers; Neurofeedback; Neurons; Proteins; Subspace constraints;
  • 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.1992.226986
  • Filename
    226986