• Media type: E-Book
  • Title: Four Top Reasons Mutual Information Does Not Quantify Neural Information Processing
  • Contributor: Johnson, Don H. [Author]
  • imprint: [S.l.]: SSRN, [2018]
  • Published in: Computer Science Preprint Archive ; Vol. 2002, Issue 2, pp 141-145
  • Extent: 1 Online-Ressource (5 p)
  • Language: English
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 2002 erstellt
  • Description: Mutual information between stimulus and response has been advocated as an information theoretic measure of a neural system's capability to process information. Once calculated, the result is a single number that supposedly captures the system's information characteristics over the range of stimulus conditions used to measure it. I show that mutual information is a flawed measure, the standard approach to measuring it has theoretical difficulties, and that relating capacity to information processing capability is quite complicated
  • Access State: Open Access