| Автор | M Heerema |
| Автор | W A van Leeuwen |
| Дата выпуска | 2000-03-10 |
| dc.description | 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. |
| Формат | application.pdf |
| Издатель | Institute of Physics Publishing |
| Название | A recurrent neural network with ever changing synapses |
| Тип | paper |
| DOI | 10.1088/0305-4470/33/9/305 |
| Print ISSN | 0305-4470 |
| Журнал | Journal of Physics A: Mathematical and General |
| Том | 33 |
| Первая страница | 1781 |
| Последняя страница | 1795 |
| Аффилиация | M Heerema; Institute for Theoretical Physics, University of Amsterdam, Valckenierstraat 65, 1018 XE Amsterdam, The Netherlands |
| Аффилиация | W A van Leeuwen; Institute for Theoretical Physics, University of Amsterdam, Valckenierstraat 65, 1018 XE Amsterdam, The Netherlands |
| Выпуск | 9 |
