{
  "annotation_id": "bd41855a-dffe-45ec-868c-95a3a49169a4",
  "date_created": "2026-03-02T18:01:35.811000Z",
  "date_modified": "2026-03-02T18:01:35.811000Z",
  "file_hash": "03c45b4bc6158f53f516db1cdbd8f339adf02cb15cbc1cdf8d4bdef1cfa62039",
  "private": false,
  "record": {
    "abstract": "The responses of synapses in the neocortex show highly stochastic and\nnonlinear behavior. The microscopic dynamics underlying this behavior, and its\ncomputational consequences during natural patterns of synaptic input, are not\nexplained by conventional macroscopic models of deterministic ensemble mean\ndynamics. Here, we introduce the correlation entropy of the synaptic\ninput-output map as a measure of synaptic reliability which explicitly includes\nthe microscopic dynamics. Applying this to experimental data, we find that\ncortical synapses show a low-dimensional chaos driven by the natural input\npattern.",
    "arxiv_id": "q-bio/0610019",
    "authors": [
      "Ingo C. Kleppe",
      "Hugh P. C. Robinson"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "doi": "10.1103/PhysRevE.74.041909",
    "journal_ref": "PHYSICAL REVIEW E 74, 041909 (2006)",
    "title": "Correlation entropy of synaptic input-output dynamics",
    "url": "https://arxiv.org/abs/q-bio/0610019"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ee2d4e21-ba8d-4a44-afcc-d34303bb6111",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}