dorsal/arxiv
View SchemaEffects of fast presynaptic noise in attractor neural networks
| Authors | J. M. Cortes, J. J. Torres, J. Marro, P. L. Garrido, H. J. Kappen |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0508013 |
| URL | https://arxiv.org/abs/q-bio/0508013 |
Abstract
We study both analytically and numerically the effect of presynaptic noise on the transmission of information in attractor neural networks. The noise occurs on a very short-time scale compared to that for the neuron dynamics and it produces short-time synaptic depression. This is inspired in recent neurobiological findings that show that synaptic strength may either increase or decrease on a short-time scale depending on presynaptic activity. We thus describe a mechanism by which fast presynaptic noise enhances the neural network sensitivity to an external stimulus. The reason for this is that, in general, the presynaptic noise induces nonequilibrium behavior and, consequently, the space of fixed points is qualitatively modified in such a way that the system can easily scape from the attractor. As a result, the model shows, in addition to pattern recognition, class identification and categorization, which may be relevant to the understanding of some of the brain complex tasks.
{
"annotation_id": "9fdfb195-ce43-4063-8342-1c3197cd55a9",
"date_created": "2026-03-02T18:01:31.356000Z",
"date_modified": "2026-03-02T18:01:31.356000Z",
"file_hash": "31cd16318edd5b941c9360cdba64bdbd0b3777069a25417feef8881a500b10b9",
"private": false,
"record": {
"abstract": "We study both analytically and numerically the effect of presynaptic noise on\nthe transmission of information in attractor neural networks. The noise occurs\non a very short-time scale compared to that for the neuron dynamics and it\nproduces short-time synaptic depression. This is inspired in recent\nneurobiological findings that show that synaptic strength may either increase\nor decrease on a short-time scale depending on presynaptic activity. We thus\ndescribe a mechanism by which fast presynaptic noise enhances the neural\nnetwork sensitivity to an external stimulus. The reason for this is that, in\ngeneral, the presynaptic noise induces nonequilibrium behavior and,\nconsequently, the space of fixed points is qualitatively modified in such a way\nthat the system can easily scape from the attractor. As a result, the model\nshows, in addition to pattern recognition, class identification and\ncategorization, which may be relevant to the understanding of some of the brain\ncomplex tasks.",
"arxiv_id": "q-bio/0508013",
"authors": [
"J. M. Cortes",
"J. J. Torres",
"J. Marro",
"P. L. Garrido",
"H. J. Kappen"
],
"categories": [
"q-bio.NC"
],
"title": "Effects of fast presynaptic noise in attractor neural networks",
"url": "https://arxiv.org/abs/q-bio/0508013"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "155b345c-18b3-45b6-864b-707f0cddb171",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}