{
  "annotation_id": "2520d347-ae45-427d-87bd-d12c58bac87b",
  "date_created": "2026-03-02T18:00:43.086000Z",
  "date_modified": "2026-03-02T18:00:43.086000Z",
  "file_hash": "15bcabae4b2e1b105f522ef6eddc035cf3758ad57fb4643a2ff565eb17e3dcd8",
  "private": false,
  "record": {
    "abstract": "We present new measures of complexity and their application to event related\npotential data. The new measures base on structures of recurrence plots and\nmakes the identification of chaos-chaos transitions possible. The application\nof these measures to data from single-trials of the Oddball experiment can\nidentify laminar states therein. This offers a new way of analyzing\nevent-related activity on a single-trial basis.",
    "arxiv_id": "physics/0212082",
    "authors": [
      "Norbert Marwan",
      "Anja Meinke"
    ],
    "categories": [
      "physics.comp-ph",
      "nlin.CD",
      "physics.bio-ph",
      "physics.data-an",
      "q-bio.QM"
    ],
    "doi": "10.1142/S0218127404009454",
    "journal_ref": "International Journal of Bifurcation and Chaos, Special Theme\n  Issue ``Cognition and Complex Brain Dynamics\u0027\u0027, 14(2), 2004, 761-771",
    "title": "Extended Recurrence Plot Analysis and its Application to ERP Data",
    "url": "https://arxiv.org/abs/physics/0212082"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "2f1e8f6a-2316-41ff-a97b-b933ce7e81cc",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}