Stochastic Dynamics of Three-State Neural Networks
Abstract
We present here an analysis of the stochastic neurodynamics of a neural network composed of three-state neurons described by a master equation. An outer-product representation of the mas(cid:173) ter equation is employed. In this representation, an extension of the analysis from two to three-state neurons is easily performed. We apply this formalism with approximation schemes to a sim(cid:173) ple three-state network and compare the results with Monte Carlo simulations.
Cite
Text
Ohira and Cowan. "Stochastic Dynamics of Three-State Neural Networks." Neural Information Processing Systems, 1994.Markdown
[Ohira and Cowan. "Stochastic Dynamics of Three-State Neural Networks." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/ohira1994neurips-stochastic/)BibTeX
@inproceedings{ohira1994neurips-stochastic,
title = {{Stochastic Dynamics of Three-State Neural Networks}},
author = {Ohira, Toru and Cowan, Jack D.},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {271-278},
url = {https://mlanthology.org/neurips/1994/ohira1994neurips-stochastic/}
}