{
  "annotation_id": "fcd18914-d89e-44e2-86f2-59adcd087c09",
  "date_created": "2026-03-02T18:01:21.476000Z",
  "date_modified": "2026-03-02T18:01:21.476000Z",
  "file_hash": "dbce5af2634088c04acf9b4684bd215303ebe91cf193698bb03cec492bb546e2",
  "private": false,
  "record": {
    "abstract": "We construct a model that predicts the statistical properties of spike trains\ngenerated by a sensory neuron. The model describes the combined effects of the\nneuron\u0027s intrinsic properties, the noise in the surrounding, and the external\ndriving stimulus. We show that the spike trains exhibit universal statistical\nbehavior over short times, modulated by a strongly stimulus-dependent behavior\nover long times. These predictions are confirmed in experiments on H1, a\nmotion-sensitive neuron in the fly visual system.",
    "arxiv_id": "physics/9801026",
    "authors": [
      "N. Brenner",
      "O. Agam",
      "W. Bialek",
      "R. de Ruyter van Steveninck"
    ],
    "categories": [
      "physics.bio-ph",
      "cond-mat.dis-nn",
      "q-bio"
    ],
    "doi": "10.1103/PhysRevLett.81.4000",
    "title": "Universal Statistical Behavior of Neural Spike Trains",
    "url": "https://arxiv.org/abs/physics/9801026"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a2a79ccf-749f-4be6-b834-3652b3c346b4",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}