Abstract

All higher organisms are able to integrate information from multiple sensory modalities and use this information to select and guide movements. In order to do this, the central nervous system (CNS) must solve two problems: (1) Converting information from distinct sensory representations into a common coordinate system, and (2) integrating this information in a sensible way. This dissertation proposes a computational framework, based on statistics and information theory, to study these two problems. The framework suggests explicit models for both the coordinate transformation and integration problems, which are tested through human psychophysics.

Citations