{
  "annotation_id": "42004495-d29f-4502-8c83-d98742493772",
  "date_created": "2026-02-17T05:53:05.071000Z",
  "date_modified": "2026-02-17T05:53:05.071000Z",
  "file_hash": "6e395948d43a0afc53669d7e6c295d92f2ed6a886672c9db6d73af1e589b2ec5",
  "private": false,
  "record": {
    "abstract": "In the brain, neural activity undergoes directed flows between states, thus breaking time-reversal symmetry. At the same time, animals also exhibit irreversible flows between behavioral states. Yet it remains unclear whether -- and how -- irreversibility in the brain relates to irreversibility in behavior. Here, we explore this connection in the hippocampus, where neural activity encodes physical location. We show that hippocampal irreversibility can be quantified using the time-delayed cross-correlations between neurons. As a mouse moves along a virtual track, we find that physical flows through the animal\u0027s environment generate neural flows through its cognitive map. Strikingly, this neural irreversibility is explained by a minimal model with only three parameters: the average velocity of the mouse, the variance in this velocity, and the resolution of the neural encoding. Together, these results provide a mechanistic understanding of irreversibility in the hippocampus and shed light on the links between symmetry breaking in the brain and behavior.",
    "arxiv_id": "2601.05284",
    "authors": [
      "Kaiyue Shi",
      "Christopher W. Lynn"
    ],
    "categories": [
      "q-bio.NC",
      "physics.bio-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "Irreversible behavior drives neural flows in the hippocampus",
    "url": "https://arxiv.org/abs/2601.05284",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "72ff2e41-2e7c-4f09-bfee-628a969be975",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}