A simple vector-like law for perceptual information combination is also followed by a class of cortical multisensory bimodal neurons

• Published in: iScience 2021-06, Vol.24 (6), p.102527-102527, Article 102527
• Main Authors: Billock, Vincent A., Kinney, Micah J., Schnupp, Jan W.H., Meredith, M. Alex
• Format: Article
• Language: English
• Subjects: Nonlinear physics; Psychoacoustics; Sensory neuroscience
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2021.102527

An interdisciplinary approach to sensory information combination shows a correspondence between perceptual and neural measures of nonlinear multisensory integration. In psychophysics, sensory information combinations are often characterized by the Minkowski formula, but the neural substrates of many psychophysical multisensory interactions are unknown. We show that audiovisual interactions – for both psychophysical detection threshold data and cortical bimodal neurons – obey similar vector-like Minkowski models, suggesting that cortical bimodal neurons could underlie multisensory perceptual sensitivity. An alternative Bayesian model is not a good predictor of cortical bimodal response. In contrast to cortex, audiovisual data from superior colliculus resembles the ‘City-Block’ combination rule used in perceptual similarity metrics. Previous work found a simple power law amplification rule is followed for perceptual appearance measures and by cortical subthreshold multisensory neurons. The two most studied neural cell classes in cortical multisensory interactions may provide neural substrates for two important perceptual modes: appearance-based and performance-based perception. [Display omitted] •The neural correlates of perceptual information combination rules are unknown•Little is known about precisely how bimodal neurons combine two sensory signals•Both perceptual and cortical data exhibit vector-like audiovisual combination•Cortical bimodal neurons may underlie audiovisual sensitivity Psychoacoustics; Nonlinear physics; Sensory neuroscience