The Graduate School of Neural Information Processing will provide research-oriented training in a wide spectrum of computational neuroscience topics, such as coding principles in sensory periphery and their clinical application; population coding in the early sensory cortex; perceptual inference mechanisms; and multi-sensory integration processes.
Other fields of research include brain computer interfaces, neuroprosthetics and rehabilitation robotics. Furthermore, students get insight into the development of new techniques in MEG and fMRI to improve spatial and temporal resolution.