{
  "annotation_id": "d58309b9-840c-40bc-a273-6a2b3d6362c9",
  "date_created": "2026-03-02T18:01:35.501000Z",
  "date_modified": "2026-03-02T18:01:35.501000Z",
  "file_hash": "fa7f0588cc6416a593160746b9e84dc960a770d3e0f02bdf0cf1ccaa73a66812",
  "private": false,
  "record": {
    "abstract": "We present a model for olfactory coding based on spatial representation of\nglomerular responses. In this model distinct odorants activate specific subsets\nof glomeruli, dependent upon the odorant\u0027s chemical identity and concentration.\nThe glomerular response specificities are understood statistically, based on\nexperimentally measured distributions of detection thresholds. A simple version\nof the model, in which glomerular responses are binary (the on/off model),\nallows us to account quantitatively for the following results of human/rodent\nolfactory psychophysics: 1) just noticeable differences in the perceived\nconcentration of a single odor (Weber ratios) are dC/C ~ 0.04; 2) the number of\nsimultaneously perceived odors can be as high as 12; 3) extensive lesions of\nthe olfactory bulb do not lead to significant changes in detection or\ndiscrimination thresholds. We conclude that a combinatorial code based on a\nbinary glomerular response is sufficient to account for the discrimination\ncapacity of the mammalian olfactory system.",
    "arxiv_id": "q-bio/0604025",
    "authors": [
      "A. Koulakov",
      "A. Gelperin",
      "D. Rinberg"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "title": "Combinatorial on/off Model for Olfactory Coding",
    "url": "https://arxiv.org/abs/q-bio/0604025"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "2fc8fc3a-c2c1-43fc-a4b3-fc8ae6a4aa78",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}