Name
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. |
Year | Venue | Keywords |
|---|---|---|
1994 | NIPS | neural network |
Field | DocType | Citations |
Monte Carlo method,Stochastic dynamics,Computer science,Stochastic neural network,Artificial intelligence,Formalism (philosophy),Artificial neural network,Master equation,Machine learning | Conference | 1 |
PageRank | References | Authors |
0.35 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toru Ohira | 1 | 8 | 3.86 |
| Jack D. Cowan | 2 | 527 | 529.18 |