Maximum-entropy approximations of stochastic nonlinear transductions: an extension of the Wiener theory

Biol Cybern. 1986;54(4-5):289-300. doi: 10.1007/BF00318425.

Abstract

We consider the description of a nonlinear stochastic transduction in terms of its input/output distribution. We construct a sequence of approximating maximum-entropy estimates from a finite set of input/output observations. This procedure extends the Wiener theory to the analysis of nonlinear stochastic transducers and to the analysis of transducers with multiple outputs but an inaccessible input.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Animals
  • Central Nervous System / physiology*
  • Models, Neurological*
  • Neurons / physiology*
  • Stochastic Processes
  • Thermodynamics