{
  "annotation_id": "be148faa-426c-4ab2-8ad1-c6062291b064",
  "date_created": "2026-03-02T18:01:34.899000Z",
  "date_modified": "2026-03-02T18:01:34.899000Z",
  "file_hash": "ffe9d890ff97f02a55f5c4a12891cfa7a9c375dc00f1ef23f4fddd47611f4739",
  "private": false,
  "record": {
    "abstract": "We demonstrate numerically that a brief burst consisting of two to six spikes\ncan propagate in a stable manner through a one-dimensional homogeneous\nfeedforward chain of non-bursting neurons with excitatory synaptic connections.\nOur results are obtained for two kinds of neuronal models, leaky\nintegrate-and-fire (LIF) neurons and Hodgkin-Huxley (HH) neurons with five\nconductances. Over a range of parameters such as the maximum synaptic\nconductance, both kinds of chains are found to have multiple attractors of\npropagating bursts, with each attractor being distinguished by the number of\nspikes and total duration of the propagating burst. These results make\nplausible the hypothesis that sparse precisely-timed sequential bursts observed\nin projection neurons of nucleus HVC of a singing zebra finch are intrinsic and\ncausally related.",
    "arxiv_id": "q-bio/0605012",
    "authors": [
      "Meng-Ru Li",
      "Henry Greenside"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "doi": "10.1103/PhysRevE.74.011918",
    "title": "Stable Propagation of a Burst Through a One-Dimensional Homogeneous   Excitatory Chain Model of Songbird Nucleus HVC",
    "url": "https://arxiv.org/abs/q-bio/0605012"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "8f746de2-5376-4fbd-8e8f-41e43ef6de58",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}