Challenges in Quantifying Multisensory Integration: Alternative Criteria, Models, and Inverse Effectiveness
Identifieur interne : 000E47 ( Pmc/Corpus ); précédent : 000E46; suivant : 000E48Challenges in Quantifying Multisensory Integration: Alternative Criteria, Models, and Inverse Effectiveness
Auteurs : Barry E. Stein ; Terrence R. Stanford ; Ramnarayan Ramachandran ; Thomas J. Perrault ; Benjamin A. RowlandSource :
- Experimental brain research. Experimentelle Hirnforschung. Experimentation cerebrale [ 0014-4819 ] ; 2009.
Abstract
Single neuron studies provide one foundation for understanding many facets of multisensory integration. These studies have used a variety of criteria for identifying and quantifying multisensory integration. While a number of techniques have been used, there lacks an explicit discussion of the assumptions, criteria, and analytical methods traditionally used to define the principles of multisensory integration. This was not problematic when the field was small, but with rapid growth a number of alternative techniques and models have been introduced, each with its own criteria and sets of implicit assumptions to define and characterize what is thought to be the same phenomenon. The potential for misconception prompted this reexamination of traditional approaches in order to clarify their underlying assumptions and analytic techniques. The objective is to review the traditional quantitative methods advanced in the study of single-neuron physiology in order to appreciate the process of multisensory integration and its impact.
Url:
DOI: 10.1007/s00221-009-1880-8
PubMed: 19551377
PubMed Central: 3056521
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