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Supra-optimality may emanate from suboptimality, and hence optimality is no benchmark in multisensory integration

Published online by Cambridge University Press:  10 January 2019

Jean-Paul Noel Open the ORCID record for Jean-Paul Noel [Opens in a new window]
Jean-Paul Noel*
Affiliation:
Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37240. jean-paul.noel@vanderbilt.eduhttp://jeanpaulnoel.com/
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Abstract

Within a multisensory context, “optimality” has been used as a benchmark evidencing interdependent sensory channels. However, “optimality” does not truly bifurcate a spectrum from suboptimal to supra-optimal – where optimal and supra-optimal, but not suboptimal, indicate integration – as supra-optimality may result from the suboptimal integration of a present unisensory stimuli and an absent one (audio = audio + absence of vision).

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 41 , 2018 , e239
Copyright
Copyright © Cambridge University Press 2018 

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References

Alais, D. & Burr, D. (2004) The ventriloquist effect results from near-optimal bimodal integration. Current Biology 14(3):257–62. doi:10.1016/j.cub.2004.01.029.Google Scholar
Beauchamp, M. S. (2005) Statistical criteria in fMRI studies of multisensory integration. Neuroinformatics 3(2):93–113. Available at: http://doi.org/10.1385/NI.Google Scholar
Ernst, M. O. & Banks, M. S. (2002) Humans integrate visual and haptic information in a statistically optimal fashion. Nature 415(6870):429–33. Available at: http://dx.doi.org/10.1038/415429a.Google Scholar
Fetsch, C. R., Turner, A. H., DeAngelis, G. C. & Angelaki, D. E. (2009) Dynamic reweighting of visual and vestibular cues during self-motion perception. Journal of Neuroscience 29:15601–12.Google Scholar
Frens, M. A. & Van Opstal, A. J. (1998) Visual-auditory interactions modulate saccade-related activity in monkey superior colliculus. Brain Research Bulletin 46:211–24.Google Scholar
Schroeder, C. E., Wilson, D. A., Radman, T., Scharfman, H. & Lakatos, P. (2010) Dynamics of active sensing and perceptual selection. Current Opinion in Neurobiology 20:172–76. Available at: https://doi.org/10.1016/j.conb.2010.02.010Google Scholar
Shalom, S. & Zaidel, A. (2018) Better than optimal. Neuron 97(3):484–87. Available at: https://doi.org/10.1016/j.neuron.2018.01.041.Google Scholar
Stein, B. E. & Meredith, M. A. (1993) The merging of the senses. MIT Press.Google Scholar
van Beers, R. J., Sittig, A. C. & Denier van der Gon, J. J. (1999) Integration of proprioceptive and visual position-information: An experimentally supported model. Journal of Neurophysiology 81:1355–64.Google Scholar