title: Correlation and independence in the neural code.
abstract: The decoding scheme of a stimulus can be different from the stochastic encoding scheme in the neural population coding. The stochastic fluctuations are not independent in general, but an independent version could be used for the ease of decoding. How much information is lost by using this unfaithful model for decoding? There are discussions concerning loss of information (Nirenberg & Latham, 2003; Schneidman, Bialek, & Berry, 2003). We elucidate the Nirenberg-Latham loss from the point of view of information geometry.
authors.affiliation: amari@brain.riken.jp
authors.forename: Shun-ichi
authors.initials: S
authors.lastname: Amari
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Nakahara
mesh_terms: D001921:Brain / Q000166:cytology / Q000502:physiology*; D008959:Models, Neurological; D009434:Neural Pathways; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes