{
  "annotation_id": "853f906b-4668-4c98-aa01-47bf876d124a",
  "date_created": "2026-03-02T18:00:32.664000Z",
  "date_modified": "2026-03-02T18:00:32.664000Z",
  "file_hash": "21267fb98c57388fe502c6556ee9c086ba7a9d4b4f31de229141eac114febc49",
  "private": false,
  "record": {
    "abstract": "In a many body system, constituents interact with each other, forming a\nrecursive pattern of interaction and giving rise to many interesting phenomena.\nBased upon concepts of the modern many body theory, a model for a generic many\nbody system is developed. A novel approach is proposed to investigate the\ngeneral features in such a system. An interesting phase transition in the\nsystem is found. Possible link to brain dynamics is discussed. It is shown how\nsome of the basic brain processes, such as learning and memory, find therein a\nnatural explanation.",
    "arxiv_id": "physics/0005076",
    "authors": [
      "Zhen Ye"
    ],
    "categories": [
      "physics.bio-ph",
      "physics.class-ph",
      "q-bio"
    ],
    "title": "Coherence in a simple network: Implication for brain function",
    "url": "https://arxiv.org/abs/physics/0005076"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "1263b178-6caa-4a5b-8af6-6609f3223d90",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}