{
  "annotation_id": "a7a2dd05-4c3b-4421-8bf6-551e7a41dbad",
  "date_created": "2026-03-02T18:01:35.616000Z",
  "date_modified": "2026-03-02T18:01:35.616000Z",
  "file_hash": "df7b63422070dc06bbcf8d2c900f84dcb7e3b3a0c4f8ffe2323e08e843a14b09",
  "private": false,
  "record": {
    "abstract": "Shannon mutual information provides a measure of how much information is, on\naverage, contained in a set of neural activities about a set of stimuli. It has\nbeen extensively used to study neural coding in different brain areas. To apply\na similar approach to investigate single stimulus encoding, we need to\nintroduce a quantity specific for a single stimulus. This quantity has been\ndefined in literature by four different measures, but none of them satisfies\nthe same intuitive properties (non-negativity, additivity), that characterize\nmutual information. We present here a detailed analysis of the different\nmeanings and properties of these four definitions. We show that all these\nmeasures satisfy, at least, a weaker additivity condition, i.e. limited to the\nresponse set. This allows us to use them for analysing correlated coding, as we\nillustrate in a toy-example from hippocampal place cells.",
    "arxiv_id": "q-bio/0601038",
    "authors": [
      "Michele Bezzi"
    ],
    "categories": [
      "q-bio.NC",
      "q-bio.QM"
    ],
    "title": "Quantifying the information transmitted in a single stimulus",
    "url": "https://arxiv.org/abs/q-bio/0601038"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "84d59deb-8468-47ba-b5c3-6f4e22b096b0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}