• DocumentCode
    2299798
  • Title

    Information theory and neuroscience: Why is the intersection so small?

  • Author

    Johnson, Don H.

  • Author_Institution
    Dept. of Electr. Eng., Rice Univ., Houston, TX
  • fYear
    2008
  • fDate
    5-9 May 2008
  • Firstpage
    104
  • Lastpage
    108
  • Abstract
    Information theory sprung from Shannonpsilas desire to determine the performance limits of communication systems. Neuroscience seeks to determine how an existing system the brain encodes and processes information. Information theory has made few inroads into neuroscience and when it has, the theory has occasionally been applied incorrectly in both obvious and subtle ways. We review both successes and failures of classic information theory in neural coding studies. We present a non-classical approach to the analysis motivated by neuroscience problems that relies heavily on the data processing theorem and properties of the Kullback-Leibler distance.
  • Keywords
    information theory; Kullback-Leibler distance; Shannon theory; communication systems; data processing theorem; information theory; neuroscience; nonclassical approach; Communication system control; Communication systems; Context modeling; Control systems; Data processing; Decoding; Information theory; Motion measurement; Neurons; Neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2008. ITW '08. IEEE
  • Conference_Location
    Porto
  • Print_ISBN
    978-1-4244-2269-2
  • Electronic_ISBN
    978-1-4244-2271-5
  • Type

    conf

  • DOI
    10.1109/ITW.2008.4578631
  • Filename
    4578631