We will uncover how healthy and impaired systems construct Priors about the environment, and utilise dynamic active and passive self-motion feedback (1 PhDs/2 postdocs Nijmegen).

We impose unique eye-head gaze-orienting tasks to healthy controls and to patients with sensory, motor, or cognitive disorders, while systematically varying AV stimulus statistics.

In three integrated research projects my team studies and models bottom-up (sensory) and top-down (task-driven) gaze-control mechanisms of AV integration in complex environments: Poses a number of major neuro-computational problems, which so far have been studied for the simplest stimulus-response conditions only. Whenever the eyes and head move, while their sensory acuities vary across space and time in essentially different ways. Moreover, vision and audition utilise coordinates that misalign Reference frames, and processing delays, yielding considerable spatial-temporal uncertainty. However, sensory inputs differ markedly in their reliability and precision,

Research question: How do normal and sensory-impaired brains decide which signals to integrate ('goal'), or suppress ('distracter')?Īudiovisual (AV) integration only helps for spatially and temporally aligned stimuli. Rapid object identification is crucial for our survival, but poses daunting challenges to the brain if many stimuli compete for attention,Īnd multiple sensory and motor systems are involved to plan and generate an eye-head gaze-orienting response to a selected goal.

Orient model simplify 3d