{
  "annotation_id": "19791f51-7dea-45ba-93ef-d979e4cc6b1d",
  "date_created": "2026-03-02T18:01:31.801000Z",
  "date_modified": "2026-03-02T18:01:31.801000Z",
  "file_hash": "ea65141fbe6cda5d69dfe4c2907963c252ccc03e5538e345cdccfa40f4a4fe4d",
  "private": false,
  "record": {
    "abstract": "Varied sensory systems use noise in order to enhance detection of weak\nsignals. It has been conjectured in the literature that this effect, known as\nstochastic resonance, may take place in central cognitive processes such as the\nmemory retrieval of arithmetical multiplication. We show in a simplified model\nof cortical tissue, that complex arithmetical calculations can be carried out\nand are enhanced in the presence of a stochastic background. The performance is\nshown to be positively correlated to the susceptibility of the network, defined\nas its sensitivity to a variation of the mean of its inputs. For nontrivial\narithmetic tasks such as multiplication, stochastic resonance is an emergent\nproperty of the microcircuitry of the model network.",
    "arxiv_id": "q-bio/0505008",
    "authors": [
      "Julien Mayor",
      "Wulfram Gerstner"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "title": "Noise-enhanced computation in a model of a cortical column",
    "url": "https://arxiv.org/abs/q-bio/0505008"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0180e4f1-84f1-4619-9df0-b4786f6a7199",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}