{
  "annotation_id": "fee14062-799d-49cd-b935-52835a0ed28f",
  "date_created": "2026-02-17T05:53:23.746000Z",
  "date_modified": "2026-02-17T05:53:23.746000Z",
  "file_hash": "870c8d370b28de9789cd9793f4f1546310bba2484820d4e5355c4087a66c4acf",
  "private": false,
  "record": {
    "abstract": "Whether neural information processing is entirely classical or involves quantum-mechanical elements remains an open question. Here we propose a model-agnostic, information-theoretic test of nonclassicality that bypasses microscopic assumptions and instead probes the structure of neural representations themselves. Using autoencoders as a transparent model system, we introduce a Bell-type consistency test in latent space, and ask whether decoding statistics obtained under multiple readout contexts can be jointly explained by a single positive latent-variable distribution. By shifting the search for quantum-like signatures in neural systems from microscopic dynamics to experimentally testable constraints on information processing, this work opens a new route for probing the fundamental physics of neural computation.",
    "arxiv_id": "2601.10588",
    "authors": [
      "I. K. Kominis",
      "C. Xie",
      "S. Li",
      "M. Skotiniotis",
      "G. P. Tsironis"
    ],
    "categories": [
      "quant-ph",
      "cs.LG",
      "physics.bio-ph"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "title": "Searching for Quantum Effects in the Brain: A Bell-Type Test for Nonclassical Latent Representations in Autoencoders",
    "url": "https://arxiv.org/abs/2601.10588",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "be5f4c92-1fdf-4966-842d-f9ca623a44e7",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}