{
  "annotation_id": "5e29dde9-dc6c-42e0-911e-bc694cfcab7d",
  "date_created": "2026-03-02T18:00:43.063000Z",
  "date_modified": "2026-03-02T18:00:43.063000Z",
  "file_hash": "da28e4bb2ef8a6dfd7b337edcde139a9ee07f16fe6cff446f600231e5dbc6652",
  "private": false,
  "record": {
    "abstract": "We study the synchronization of two model neurons coupled through a synapse\nhaving an activity-dependent strength. Our synapse follows the rules of\nSpike-Timing Dependent Plasticity (STDP). We show that this plasticity of the\ncoupling between neurons produces enlarged frequency locking zones and results\nin synchronization that is more rapid and much more robust against noise than\nclassical synchronization arising from connections with constant strength. We\nalso present a simple discrete map model that demonstrates the generality of\nthe phenomenon.",
    "arxiv_id": "physics/0212070",
    "authors": [
      "Valentin P. Zhigulin",
      "Mikhail I. Rabinovich",
      "Ramon Huerta",
      "Henry D. I. Abarbanel"
    ],
    "categories": [
      "physics.bio-ph",
      "physics.gen-ph",
      "q-bio.NC"
    ],
    "doi": "10.1103/PhysRevE.67.021901",
    "title": "Robustness and Enhancement of Neural Synchronization by   Activity-Dependent Coupling",
    "url": "https://arxiv.org/abs/physics/0212070"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "fd4b8c12-4e66-4658-a37c-e199af0282cb",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}