4.7 Article

Multisensory stimuli shift perceptual priors to facilitate rapid behavior

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-021-02566-8

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Funding

  1. NIH [R00 DC013828, T32 NS047987]

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The study aimed to clarify the mechanisms behind the redundant target effect (RTE) in multisensory reactions, ruling out alternative explanations and focusing on pre-potentiation through crossmodal phase-resetting. Contrary to previous beliefs, preceding stimuli only accounted for a small percentage of the variance in apparent RTEs. The best explanation for multisensory reaction time distributions was found to be increased sensory evidence at stimulus onset, suggesting a link between neurophysiological, behavioral, and computational accounts of multisensory interactions.
Multisensory stimuli speed behavioral responses, but the mechanisms subserving these effects remain disputed. Historically, the observation that multisensory reaction times (RTs) outpace models assuming independent sensory channels has been taken as evidence for multisensory integration (the redundant target effect; RTE). However, this interpretation has been challenged by alternative explanations based on stimulus sequence effects, RT variability, and/or negative correlations in unisensory processing. To clarify the mechanisms subserving the RTE, we collected RTs from 78 undergraduates in a multisensory simple RT task. Based on previous neurophysiological findings, we hypothesized that the RTE was unlikely to reflect these alternative mechanisms, and more likely reflected pre-potentiation of sensory responses through crossmodal phase-resetting. Contrary to accounts based on stimulus sequence effects, we found that preceding stimuli explained only 3-9% of the variance in apparent RTEs. Comparing three plausible evidence accumulator models, we found that multisensory RT distributions were best explained by increased sensory evidence at stimulus onset. Because crossmodal phase-resetting increases cortical excitability before sensory input arrives, these results are consistent with a mechanism based on pre-potentiation through phase-resetting. Mathematically, this model entails increasing the prior log-odds of stimulus presence, providing a potential link between neurophysiological, behavioral, and computational accounts of multisensory interactions.

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