{
  "annotation_id": "da5d5eff-ad25-4642-a4be-865b9f78b535",
  "date_created": "2026-03-02T18:01:07.969000Z",
  "date_modified": "2026-03-02T18:01:07.969000Z",
  "file_hash": "1dd6fca6736a5cad183b2f33f0af1db1e37743c0df90c412b90fb0c298d031a1",
  "private": false,
  "record": {
    "abstract": "The various human brain tasks are performed at different locations and time\nscales. Yet, we discovered the existence of time-invariant (above an essential\ntime scale) partitioning of the brain activity into personal state-specific\nfrequency bands. For that, we perform temporal and ensemble averaging of best\nwavelet packet bases from multi-electrode EEG recordings. These personal\nfrequency-bands provide new templates for quantitative analyses of brain\nfunction, e.g., normal vs. epileptic activity.",
    "arxiv_id": "physics/0605182",
    "authors": [
      "Itai Doron",
      "Eyal Hulata",
      "Itay Baruchi",
      "Vernon L. Towle",
      "Eshel Ben-Jacob"
    ],
    "categories": [
      "physics.med-ph",
      "physics.bio-ph"
    ],
    "doi": "10.1103/PhysRevLett.96.258101",
    "title": "Time-invariant person-specific frequency templates in human brain   activity",
    "url": "https://arxiv.org/abs/physics/0605182"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e11b591e-40bd-4a4a-a863-76a0ef04faa0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}