@misc{10481/77887,
year = {2006},
month = {4},
url = {https://hdl.handle.net/10481/77887},
abstract = {We studied auto–associative networks in which synapses are noisy on
a time scale much shorter that the one for the neuron dynamics. In our
model a presynaptic noise causes postsynaptic depression as recently ob-
served in neurobiological systems. This results in a nonequilibrium condi-
tion in which the network sensitivity to an external stimulus is enhanced.
In particular, the fixed points are qualitatively modified, and the system
may easily scape from the attractors. As a result, in addition to pattern
recognition, the model is useful for class identification and categorization.},
organization = {MCyT and FEDER (project No. BFM2001-
2841 and Ram´on y Cajal contract)},
publisher = {Springer},
keywords = {Inteligencia artificial},
keywords = {Artificial intelligence},
title = {Instability of attractors in auto–associative networks with bio–inspired fast synaptic noise},
author = {Torres Agudo, Joaquín and Cortes, J. M. and Marro Borau, Joaquín},
}