Key research themes
1. How do multisensory and motor-related signals integrate to shape the perception of self-motion and spatial orientation?
This research area investigates the neural and behavioral mechanisms by which the brain integrates visual optic-flow, vestibular, somatosensory, and motor signals to produce coherent self-motion perception. Understanding multisensory integration is critical because self-motion perception underpins navigation and interacting with dynamic environments. Studies explore how visual and non-visual cues contribute conjointly or distinctly to estimating self-motion and how perturbations in these signals affect perception and behavior.
2. How do sensorimotor learning and internal motor memory dynamics contribute to bodily self-consciousness and the perception of agency and body ownership?
This theme centers on how sensorimotor memory systems with distinct temporal dynamics contribute to bodily self-consciousness components: body ownership (feeling that a body part is one’s own) and agency (feeling that one causes actions). It focuses on internal models of body schema updated through fast and slow motor learning systems and how these influence the recovery or formation of body awareness. This mechanistic view links motor memory dynamics with perceptual self-consciousness and agency experience.
3. What neural mechanisms underlie visual processing and integration of optic-flow cues for the perception and neural representation of self-motion?
This research area focuses on how visuocortical regions process optic-flow information to encode self-motion. It investigates specialized visual areas in the medial cortex and motion complex (e.g., V6, posterior cingulate sulcus area CSv, precuneus motion area PcM, hMT+) in representing visual self-motion signals, their selectivity for coherent motion, and how binocular/stereoscopic cues and stimulus size modulate these responses. Advanced neuroimaging methods elucidate the neural codes for subjective vection and visual contributions to self-motion estimation.