A recurrent neural network with ever changing synapses
| Authors |
|
|---|---|
| Publication date | 2000 |
| Journal | Journal of Physics. A, Mathematical and General |
| Volume | Issue number | 33 |
| Pages (from-to) | 1781-1795 |
| Organisations |
|
| Abstract |
A recurrent neural network with noisy input is studied analytically, on the basis of a Discrete Time Master Equation. The latter is derived from a biologically realizable learning rule for the weights of the connections. In a numerical study it is found that the fixed points of the dynamics of the net are time dependent, implying that the representation in the brain of a fixed piece of information (e.g., a word to be recognized) is not fixed in time. |
| Document type | Article |
| Published at | https://doi.org/10.1088/0305-4470/33/9/305 |
| Permalink to this page | |