{
  "annotation_id": "f44b5f65-8043-45ef-b4e7-6b19843b1816",
  "date_created": "2026-03-02T18:01:34.898000Z",
  "date_modified": "2026-03-02T18:01:34.898000Z",
  "file_hash": "8116610a2151d831ff380ec210244c6c15624161a39a572827b274d54a957bef",
  "private": false,
  "record": {
    "abstract": "Using a realistic model of activity dependent dynamical synapses and a\nstandard integrate and fire neuron model we study, both analytically and\nnumerically, the conditions in which a postsynaptic neuron efficiently detects\ntemporal coincidences of spikes arriving at certain frequency from N different\nafferents. We extend a previous work that only considers synaptic depression as\nthe most important mechanism in the transmission of information through\nsynapses, to a more general situation including also synaptic facilitation. Our\nstudy shows that: 1) facilitation enhances the detection of correlated signals\narriving from a subset of presynaptic excitatory neurons, with different\ndegrees of correlation among this subset, and 2) the presence of facilitation\nallows for a better detection of firing rate changes. Finally, we also observed\nthat facilitation determines the existence of an optimal input frequency which\nallows the best performance for a wide (maximum) range of the neuron firing\nthreshold. This optimal frequency can be controlled by means of facilitation\nparameters.",
    "arxiv_id": "q-bio/0605006",
    "authors": [
      "Jorge F. Mejias",
      "Joaquin J. Torres"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "title": "The role of synaptic facilitation in coincidence spike detection",
    "url": "https://arxiv.org/abs/q-bio/0605006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "3187e48c-cf13-4802-b2e5-87cfd268e499",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}