title: An introductory review of information theory in the context of computational neuroscience.
abstract: This article introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without understanding the assumptions behind their definitions can lead to erroneous results and conclusions. Furthermore, this century will see a convergence of information theory and neuroscience; information theory will expand its foundations to incorporate more comprehensively biological processes thereby helping reveal how neuronal networks achieve their remarkable information processing abilities.
authors.affiliation: Institute for Telecommunications Research, University of South Australia. Mark.McDonnell@unisa.edu.au
authors.forename: Mark D
authors.initials: MD
authors.lastname: McDonnell
authors.forename: Shiro
authors.initials: S
authors.lastname: Ikeda
authors.forename: Jonathan H
authors.initials: JH
authors.lastname: Manton
mesh_terms: D001921:Brain / Q000502:physiology; D003071:Cognition / Q000502:physiology; D003142:Communication; D006801:Humans; D007257:Information Theory; D008433:Mathematics; D009474:Neurons / Q000502:physiology; D009488:Neurosciences