Free of charge

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. The interdisciplinary combination of neurobiological, psychophysical and theoretical approaches will not only advance understanding of sensory and neural information processing but will also promote the development of technical devices mitigating lost sensory organ or brain function.

Teaching Program – Curricular Focus:

• neural data analysis and models of neural coding and computation

• physical and physiological basis of neural recordings and brain imaging

• computational motor control and computational vision

• rehabilitation robotics and brain computer interfaces

• systems neuroscience and neurophysiology

• basic mechanisms of learning and memory

• mathematics, statistics and programming

• machine learning for neuroscience

• theoretical neuroscience

• behaviour and cognition