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Bayes-Like Integration of a New Sensory Skill with Vision

Negen, J, Wen, L, Thaler, L and Nardini, M (2018) Bayes-Like Integration of a New Sensory Skill with Vision. Scientific Reports, 8. ISSN 2045-2322

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Abstract

Humans are effective at dealing with noisy, probabilistic information in familiar settings. One hallmark of this is Bayesian Cue Combination: combining multiple noisy estimates to increase precision beyond the best single estimate, taking into account their reliabilities. Here we show that adults also combine a novel audio cue to distance, akin to human echolocation, with a visual cue. Following two hours of training, subjects were more precise given both cues together versus the best single cue. This persisted when we changed the novel cue’s auditory frequency. Reliability changes also led to a re-weighting of cues without feedback, showing that they learned something more flexible than a rote decision rule for specific stimuli. The main findings replicated with a vibrotactile cue. These results show that the mature sensory apparatus can learn to flexibly integrate new sensory skills. The findings are unexpected considering previous empirical results and current models of multisensory learning.

Item Type: Article
Uncontrolled Keywords: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; HAPTIC INFORMATION; HUMAN ECHOLOCATION; CUE INTEGRATION; HUMANS; BLIND; FORM; SUBSTITUTION; PERCEPTION; EXPERIENCE; CHILDREN
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Psychology (new Sep 2019)
Publisher: Nature Publishing Group
Related URLs:
Date Deposited: 09 Feb 2021 11:24
Last Modified: 09 Feb 2021 11:30
DOI or Identification number: 10.1038/s41598-018-35046-7
URI: https://researchonline.ljmu.ac.uk/id/eprint/14417

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