Optimal perceived timing: integrating sensory information with dynamically updated expectations

Di Luca, M and Rhodes, D ORCID: https://orcid.org/0000-0001-5859-4567, 2016. Optimal perceived timing: integrating sensory information with dynamically updated expectations. Scientific Reports, 6, p. 28563. ISSN 2045-2322

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Abstract

The environment has a temporal structure, and knowing when a stimulus will appear translates into increased perceptual performance. Here we investigated how the human brain exploits temporal regularity in stimulus sequences for perception. We find that the timing of stimuli that occasionally deviate from a regularly paced sequence is perceptually distorted. Stimuli presented earlier than expected are perceptually delayed, whereas stimuli presented on time and later than expected are perceptually accelerated. This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry that leads to the perceptual acceleration of expected stimuli. We present a Bayesian model for the combination of dynamically-updated expectations, in the form of a priori probability of encountering future stimuli, with incoming sensory information. The asymmetries in the results are accounted for by the asymmetries in the distributions involved in the computational process.

Item Type:	Journal article
Publication Title:	Scientific Reports
Creators:	Di Luca, M. and Rhodes, D.
Publisher:	Nature Publishing Group
Date:	July 2016
Volume:	6
ISSN:	2045-2322
Identifiers:	Number Type 10.1038/srep28563 DOI BFsrep28563 Publisher Item Identifier
Divisions:	Schools > School of Social Sciences
Record created by:	Jonathan Gallacher
Date Added:	29 Aug 2017 14:52
Last Modified:	29 Aug 2017 14:52
URI:	https://irep.ntu.ac.uk/id/eprint/31472

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