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Models and processes of multisensory cue combination

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Models and processes of multisensory cue combination

Auteurs : Robert L. Seilheimer ; Ari Rosenberg ; Dora E. Angelaki

Source :

Current opinion in neurobiology [ 0959-4388 ] ; 2013.

RBID : PMC:3980502

Abstract

Fundamental to our perception of a unified and stable environment is the capacity to combine information across the senses. Although this process appears seamless as an adult, the brain’s ability to successfully perform multisensory cue combination takes years to develop and relies on a number of complex processes including cue integration, cue calibration, causal inference, and reference frame transformations. Further complexities exist because multisensory cue combination is implemented by populations of noisy neurons. In this review, we discuss recent behavioral studies exploring how the brain combines information from different sensory systems, neurophysiological studies relating behavior to neuronal activity, and a theory of neural sensory encoding that can account for many of these experimental findings.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3980502

DOI: 10.1016/j.conb.2013.11.008
PubMed: 24709599
PubMed Central: 3980502

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PMC:3980502

Le document en format XML

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<author><name sortKey="Rosenberg, Ari" sort="Rosenberg, Ari" uniqKey="Rosenberg A" first="Ari" last="Rosenberg">Ari Rosenberg</name>
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<author><name sortKey="Angelaki, Dora E" sort="Angelaki, Dora E" uniqKey="Angelaki D" first="Dora E." last="Angelaki">Dora E. Angelaki</name>
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<front><div type="abstract" xml:lang="en"><p id="P2">Fundamental to our perception of a unified and stable environment is the capacity to combine information across the senses. Although this process appears seamless as an adult, the brain’s ability to successfully perform multisensory cue combination takes years to develop and relies on a number of complex processes including cue integration, cue calibration, causal inference, and reference frame transformations. Further complexities exist because multisensory cue combination is implemented by populations of noisy neurons. In this review, we discuss recent behavioral studies exploring how the brain combines information from different sensory systems, neurophysiological studies relating behavior to neuronal activity, and a theory of neural sensory encoding that can account for many of these experimental findings.</p>
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<contrib-group><contrib contrib-type="author"><name><surname>Seilheimer</surname>
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<contrib contrib-type="author"><name><surname>Rosenberg</surname>
<given-names>Ari</given-names>
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<xref ref-type="author-notes" rid="FN1">+</xref>
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<contrib contrib-type="author"><name><surname>Angelaki</surname>
<given-names>Dora E.</given-names>
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<aff id="A1">Baylor College of Medicine, Houston, TX</aff>
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<author-notes><corresp id="cor1"><label>*</label>
correspondence: <email>angelaki@cns.bcm.edu</email>
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<fn id="FN1" fn-type="con"><label>+</label>
<p id="P1">Equal author contribution</p>
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<pub-date pub-type="nihms-submitted"><day>3</day>
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<lpage>46</lpage>
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      <permissions><copyright-statement>© 2013 Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2013</copyright-year>
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<abstract><p id="P2">Fundamental to our perception of a unified and stable environment is the capacity to combine information across the senses. Although this process appears seamless as an adult, the brain’s ability to successfully perform multisensory cue combination takes years to develop and relies on a number of complex processes including cue integration, cue calibration, causal inference, and reference frame transformations. Further complexities exist because multisensory cue combination is implemented by populations of noisy neurons. In this review, we discuss recent behavioral studies exploring how the brain combines information from different sensory systems, neurophysiological studies relating behavior to neuronal activity, and a theory of neural sensory encoding that can account for many of these experimental findings.</p>
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<name sortKey="Seilheimer, Robert L" sort="Seilheimer, Robert L" uniqKey="Seilheimer R" first="Robert L." last="Seilheimer">Robert L. Seilheimer</name>
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Models and processes of multisensory cue combination

Models and processes of multisensory cue combination

Source :

Abstract

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