{
  "annotation_id": "00bc551f-8221-4f49-8303-5a8442a9b787",
  "date_created": "2026-03-02T18:00:32.783000Z",
  "date_modified": "2026-03-02T18:00:32.783000Z",
  "file_hash": "5542ae8a7dc2e463ff507cdfe91927a94a7a5a3547d7253c4ceea325c2f87963",
  "private": false,
  "record": {
    "abstract": "We demonstrate an application of spherical harmonic decomposition to analysis\nof the human electroencephalogram (EEG). We implement two methods and discuss\nissues specific to analysis of hemispherical, irregularly sampled data.\nPerformance of the methods and spatial sampling requirements are quantified\nusing simulated data. The analysis is applied to experimental EEG data,\nconfirming earlier reports of an approximate frequency-wavenumber relationship\nin some bands.",
    "arxiv_id": "physics/0011006",
    "authors": [
      "Brett M. Wingeier",
      "Paul L. Nunez",
      "Richard B. Silberstein"
    ],
    "categories": [
      "physics.bio-ph",
      "physics.data-an",
      "q-bio"
    ],
    "doi": "10.1103/PhysRevE.64.051916",
    "title": "Spherical harmonic decomposition applied to spatial-temporal analysis of   human high-density EEG",
    "url": "https://arxiv.org/abs/physics/0011006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f92d3549-d159-40e5-96f2-4c198c8cdf73",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}