{
  "id": 11232594,
  "title": "Change-point oddball elicits pupil-linked signatures of Bayesian belief updating",
  "url": "https://urgent.news/2026/10/01/change-point-oddball-elicits-pupil-linked-signatures-of-bayesian",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-01T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.25.754382v1?rss=1"
  },
  "original_language": "en",
  "account": "The auditory oddball protocol, commonly employed to examine neural reactions to unexpected occurrences, typically involves static stimulus patterns: deviants do not signify environmental alterations and thus are not expected to stimulate learning. Researchers have now devised a novel, passive, no-report procedure termed change-point oddball. In this approach, the conventional oddball mapping switches at random change points, prompting the brain to infer latent environmental conditions. Measurements of pupil-linked arousal were gathered from three groups of human participants. The researchers observed that pupil responses were more pronounced for state-specific oddballs compared to standard stimuli, diminished over time following the establishment of new standards, and correlated with the probability of state transitions as determined by the researchers' models. An experiment involving multiple standards was conducted to rule out a repetition-based mechanism, suggesting instead a prediction-based process. Moreover, a closer examination of individual participants revealed that a greater encoding of change-point probability during the passive task was linked to more pronounced changes in belief updating during a separate, voluntary navigation task. Consequently, the passive change-point oddball paradigm retains essential indicators of adaptive belief updating, providing a versatile tool for cross-species and clinical research.",
  "summary": "The auditory oddball protocol is widely used to study neural responses to unexpected events. In conventional designs, however, stimulus statistics are stationary: deviants do not indicate environmental change and therefore should not drive learning. Here, we introduce change-point oddball, a passive, no-report protocol in which the standard-oddball mapping reverses at unpredictable change points,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}