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Information transmission in multi-input-output stochastic neuron models

✍ Scribed by M. Tsukada; K. Obara; R. Sato

Publisher
Springer-Verlag
Year
1979
Tongue
English
Weight
495 KB
Volume
34
Category
Article
ISSN
0340-1200

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✦ Synopsis

The Shannon's information theory in multiway channels (Shannon, 1961) is applied to multiinput-output relations of the stochastic automaton models for interaction of excitatory and inhibitory impulse sequences proposed in the previous papers (Tsukada et al., 1977). In these models, the output spike train depends upon several statistical characteristics (mean frequency, standard deviation, form, order-dependence or order-independence, etc.) of the excitatory and inhibitory input spike trains. By the use of the multiple-access channel in information theory, some stochastic properties of temporal pattern discrimination in neurons are analyzed and discussed with biological systems.

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