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Correlation Detection As a General Mechanism for Multisensory Integration

Overview
Journal Nat Commun
Specialty Biology
Date 2016 Jun 7
PMID 27265526
Citations 55
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Abstract

The brain efficiently processes multisensory information by selectively combining related signals across the continuous stream of multisensory inputs. To do so, it needs to detect correlation, lag and synchrony across the senses; optimally integrate related information; and dynamically adapt to spatiotemporal conflicts across the senses. Here we show that all these aspects of multisensory perception can be jointly explained by postulating an elementary processing unit akin to the Hassenstein-Reichardt detector-a model originally developed for visual motion perception. This unit, termed the multisensory correlation detector (MCD), integrates related multisensory signals through a set of temporal filters followed by linear combination. Our model can tightly replicate human perception as measured in a series of empirical studies, both novel and previously published. MCDs provide a unified general theory of multisensory processing, which simultaneously explains a wide spectrum of phenomena with a simple, yet physiologically plausible model.

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References
1.
Spence C . Just how important is spatial coincidence to multisensory integration? Evaluating the spatial rule. Ann N Y Acad Sci. 2013; 1296:31-49. DOI: 10.1111/nyas.12121. View

2.
Ernst M, Bulthoff H . Merging the senses into a robust percept. Trends Cogn Sci. 2004; 8(4):162-9. DOI: 10.1016/j.tics.2004.02.002. View

3.
Shams L, Beierholm U . Causal inference in perception. Trends Cogn Sci. 2010; 14(9):425-32. DOI: 10.1016/j.tics.2010.07.001. View

4.
Cai M, Stetson C, Eagleman D . A neural model for temporal order judgments and their active recalibration: a common mechanism for space and time?. Front Psychol. 2012; 3:470. PMC: 3487422. DOI: 10.3389/fpsyg.2012.00470. View

5.
Carandini M, Heeger D . Normalization as a canonical neural computation. Nat Rev Neurosci. 2011; 13(1):51-62. PMC: 3273486. DOI: 10.1038/nrn3136. View