Sensory processing, Learning, Neuronal computation, Deep brain imaging

Sensory processing and learning

Reliable multisensory integration is the basis for learning and memory and shapes our future behaviours. Malfunctions of sensory integration like false (or “phantom”) neuronal representations can result in detrimental behavioural outcomes. Several higher brain areas are now known to be involved in the storage and retrieval of memories. However, how sensory information flow to these areas is integrated, preprocessed and routed remains elusive. Our research aims to understand how sensory inputs are represented and computed in subcortical parts of the brain to elucidate key principals of multisensory integration that precede higher brain areas. To address this question, we combine state of the art circuit neuroscience tools like opto- and pharmacogenetics with single and two-photon imaging techniques to reveal computational frameworks of multisensory integration in deep brain areas and their effects on behaviour and learning.