{
  "id": 5470655,
  "title": "Learned Visual Relevance Shapes Perceptual Inference: Evidence from Eyes to Hands",
  "url": "https://urgent.news/2026/09/03/learned-visual-relevance-shapes-perceptual-inference-evidence-from",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-03T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.30.748064v1?rss=1"
  },
  "original_language": "en",
  "account": "The brain's process of making sense of sensory information, known as perceptual inference, involves determining which signals are related and should be combined, versus those that are distinct and should be treated separately. Generally, sensory inputs are given weights proportional to their precision, following principles rooted in Bayesian statistics. However, it remains unclear if acquired behavioral relevance from learning impacts how the brain balances sensory signals during integration. This research explored whether visual learning through trial-and-error influences sensory weighting in a separate task. In the initial phase, participants were tasked with focusing on one of two visually distinct flashes in a busy scene, ignoring the other. Later, they were asked to locate sounds that appeared in sync with these visual stimuli. The findings revealed that the perceived position of the sounds leaned toward the initially relevant target when the visual/audio separation was greater. This shift in auditory perception persisted throughout the entire sensory processing and decision-making sequence, from quick eye movements and gaze adjustments following the target's disappearance to subtle changes in hand movements and, on some trials, even a reversal of perceptions towards the sound based on mounting evidence of separate cause structures. Therefore, the study concludes that perceptual inference is not solely determined by sensory precision, but also by visual priorities instilled through instrumental learning. Essentially, what we learn to emphasize in our vision can alter where we perceive sounds, even in situations unrelated to that initial learning.",
  "summary": "Perceptual inference requires the brain to decide which signals come from common causes and should hence be integrated or else be segregated. Leading accounts posit that sensory signals are weighted near-optimally by their relative precision consistent with Bayesian principles. It is unknown whether learnt behavioural relevance influences how the brain weighs signals in sensory integration. This…",
  "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."
}