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A vestibular sensation: probabilistic approaches to spatial perception

Identifieur interne : 002212 ( Pmc/Checkpoint ); précédent : 002211; suivant : 002213

A vestibular sensation: probabilistic approaches to spatial perception

Auteurs : Dora E. Angelaki ; Eliana M. Klier ; Lawrence H. Snyder

Source :

RBID : PMC:2786181

Abstract

The vestibular system helps maintain equilibrium and clear vision through reflexes, but it also contributes to spatial perception. In recent years, research in the vestibular field has expanded to higher level processing involving the cortex. Vestibular contributions to spatial cognition have been difficult to study because the circuits involved are inherently multisensory. Computational methods and the application of Bayes theorem are used to form hypotheses about how information from different sensory modalities is combined together with expectations based on past experience in order to obtain optimal estimates of cognitive variables like current spatial orientation. To test these hypotheses, neuronal populations are being recorded during active tasks in which subjects make decisions based on vestibular and visual or somatosensory information. This review highlights what is currently known about the role of vestibular information in these processes, the computations necessary to obtain the appropriate signals, and the benefits that have emerged thus far.


Url:
DOI: 10.1016/j.neuron.2009.11.010
PubMed: 19945388
PubMed Central: 2786181


Affiliations:


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PMC:2786181

Le document en format XML

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<corresp id="CR1">Contact information: Dr. Dora Angelaki (
<email>angelaki@wustl.edu</email>
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<p id="P1">The vestibular system helps maintain equilibrium and clear vision through reflexes, but it also contributes to spatial perception. In recent years, research in the vestibular field has expanded to higher level processing involving the cortex. Vestibular contributions to spatial cognition have been difficult to study because the circuits involved are inherently multisensory. Computational methods and the application of Bayes theorem are used to form hypotheses about how information from different sensory modalities is combined together with expectations based on past experience in order to obtain optimal estimates of cognitive variables like current spatial orientation. To test these hypotheses, neuronal populations are being recorded during active tasks in which subjects make decisions based on vestibular and visual or somatosensory information. This review highlights what is currently known about the role of vestibular information in these processes, the computations necessary to obtain the appropriate signals, and the benefits that have emerged thus far.</p>
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