• DocumentCode
    1517731
  • Title

    Signal processing and control problems in the brain

  • Author

    Nenadic, Zoran ; Ghosh, Bijoy K.

  • Author_Institution
    Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
  • Volume
    21
  • Issue
    4
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    28
  • Lastpage
    41
  • Abstract
    W focus on the problem of representing an analog signal with a spike train, a representation commonly associated with a population of neurons. In the process of perception and control, the associated analog signals are believed to be encoded by a population of spiking neurons wherein the spikes are responsible for conveying the encoded information from one cell to another. Following prior work of Eilasmith and Anderson (1999, 2000), we describe how a collection of spike trains might encode analog signals. Implementation of a suitable decoder (filter) is shown to produce a reasonably good reconstruction of the encoded analog signal
  • Keywords
    biocontrol; bioelectric potentials; brain; neural nets; neurophysiology; signal processing; biocontrol; brain; decoder; neurons; perception; signal processing; spike train; Biomembranes; Brain modeling; Decoding; Differential equations; Muscles; Neurons; Nonlinear filters; Process control; Robot control; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.939942
  • Filename
    939942