Challenges in quantifying multisensory integration: alternative criteria, models, and inverse effectiveness
- 907 Downloads
Single-neuron studies provide a 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, an explicit discussion of the assumptions, criteria, and analytical methods traditionally used to define the principles of multisensory integration is lacking. 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 here is to review and discuss traditional quantitative methods advanced in the study of single-neuron physiology in order to appreciate the process of multisensory integration and its impact.
KeywordsSensory Cross-modal Computation Vision Auditory Somatosensory
We thank Nancy London for technical assistance. Part of the research discussed here was supported by NIH grants EY016716 and NS36916.
- Gingras G, Rowland BA, Stein BE (2006) Unisensory versus multisensory integration: computational distinctions in behavior. Soc Neurosci Abstr (36th Annual Meeting) (Abstract)Google Scholar
- Holmes NP (2008) The seemingly inviolable principle of inverse effectiveness: in search of a null hypothesis. International Multisensory Research Forum, Hamburg, Germany, 2008-07-17Google Scholar
- Stein BE (2005) The development of a dialogue between cortex and midbrain to integrate multisensory information. Cortex 168:305–315Google Scholar
- Stein BE, Meredith MA (1993) The merging of the senses. MIT Press, Cambridge, MAGoogle Scholar