Computational Neuroscience

Study Type

graduate

Admission semester

Winter Semester only

Focus

Computational Neuroscience, Neurobiology, Computer Science, Bioinformatics, Neuroinformatics, Artificial Intelligence, Neurophysics

Target group

Area of Study and Research The latest offshoot, the Graduate School of Neural Information Processing, started teaching in the winter term of 2011. This school covers theoretical and computational aspects of neuroscience, a field of research that has become increasingly important in the past years. Apart from the Centre for Integrative Neuroscience CIN, major partners of this graduate school are the Tübingen Bernstein Centre for Computational Neuroscience BCCN and the newly established MPI for Intelligent Systems, which provide in addition to financial support scientists who make a considerable contribution to teaching and laboratory training. Teaching Program Curricular Focus - neural data analysis and models of neural coding and computation, - computational motor control and computational vision, - rehabilitation robotics and brain-computer interfaces, - physical and physiological basis of neural recordings and brain imaging, - systems neuroscience and neurophysiology, - basic mechanisms of learning and memory, - mathematics, statistics and programming, - machine learning for neuroscience, - theoretical neuroscience, - behaviour and cognition.

Annotation

Earlier application deadline on 15. 01

Admission modus

Local admission restriction

Admission requirements (Link)

Admission requirements

Deviating application deadline on 15 January.

Fees

Fees (Link)

All information about tuition fees for international students (EUR 1,500 per semester) and for a second degree course (EUR 650 per semester) can be found on our website.