Maximum-entropy approximations of stochastic nonlinear transductions: an extension of the Wiener theory. Academic Article uri icon

Overview

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 date

  • January 1, 1986

Research

keywords

  • Central Nervous System
  • Models, Neurological
  • Neurons

Identity

Scopus Document Identifier

  • 0022487573

PubMed ID

  • 3741900

Additional Document Info

volume

  • 54

issue

  • 4-5