title: Information theoretic analysis of action potential trains. I. Analysis of correlation between two neurons.
abstract: A crosscorrelational method of action potential trains has been proposed, based on information theory. Two information theoretic quantities, mutual information and channel capacity, were calculated from a pair of action potential trains for detecting a crosscorrelation and estimating synaptic connectivity. The method was compared with conventional ones, using action potential trains obtained by the simulation of a neuron model. This method was shown to have the advantages to more easily find a weak but significant crosscorrelation and to give better estimation of synaptic connectivity independent of the firing probability of a presynaptic neuron.
authors.affiliation: Central Research Laboratory, Mitsubishi Electric Corporation, Hyogo, Japan.
authors.forename: S
authors.initials: S
authors.lastname: Yamada
authors.forename: M
authors.initials: M
authors.lastname: Nakashima
authors.forename: K
authors.initials: K
authors.lastname: Matsumoto
authors.forename: S
authors.initials: S
authors.lastname: Shiono
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003491:Cybernetics; D007257:Information Theory; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology