Multisensory integration and causal inference in typical and atypical populations

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Jones, S.A. ORCID: 0000-0002-1767-9414 and Noppeney, U., 2024. Multisensory integration and causal inference in typical and atypical populations. In: Y. Gu and A. Zaidel, eds., Advances of multisensory integration in the brain. Singapore: Springer, pp. 59-76. ISBN 9789819976102

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Official URL: https://doi.org/10.1007/978-981-99-7611-9_4

Abstract

Multisensory perception is critical for effective interaction with the environment, but human responses to multisensory stimuli vary across the lifespan and appear changed in some atypical populations. In this review chapter, we consider multisensory integration within a normative Bayesian framework. We begin by outlining the complex computational challenges of multisensory causal inference and reliability-weighted cue integration, and discuss whether healthy young adults behave in accordance with normative Bayesian models. We then compare their behaviour with various other human populations (children, older adults, and those with neurological or neuropsychiatric disorders). In particular, we consider whether the differences seen in these groups are due only to changes in their computational parameters (such as sensory noise or perceptual priors), or whether the fundamental computational principles (such as reliability weighting) underlying multisensory perception may also be altered. We conclude by arguing that future research should aim explicitly to differentiate between these possibilities.

Item Type:

Chapter in book

Creators:

Jones, S.A. and Noppeney, U.

Publisher:

Springer

Place of Publication:

Singapore

Date:

26 January 2024

ISBN:

9789819976102