{
  "annotation_id": "8d343c1c-895a-46f6-8f49-1bcd1b6d97d9",
  "date_created": "2026-03-02T18:01:31.018000Z",
  "date_modified": "2026-03-02T18:01:31.018000Z",
  "file_hash": "d039293d33b15622a1f9b2e648689d21ec0e4712ddd39acf61dd3d5fae80d513",
  "private": false,
  "record": {
    "abstract": "We have designed a toy brain and have written computer code that simulates\nit. This toy brain is flexible, modular, has hierarchical learning and\nrecognition, has short and long term memory, is distributed (i.e. has no\ncentral control), is asynchronous, and includes parallel and series processing.\nWe have simulated the neurons calculating their internal voltages as a function\nof time. We include in the simulation the ion pumps of the neurons, the\nsynapses with glutamate or GABA neurotransmitters, and the delays of the action\npulses in axons and dendrites. We have used known or plausible circuits of real\nbrains. The toy brain reads books and learns languages using the Hebb\nmechanism. Finally, we have related the toy brain with what might be occurring\nin a real brain.",
    "arxiv_id": "q-bio/0405002",
    "authors": [
      "B. Hoeneisen",
      "F. Pasmay"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "title": "A toy model of the brain",
    "url": "https://arxiv.org/abs/q-bio/0405002"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f9b92741-ffc7-4ad1-9a1d-f013190e1c21",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}