Neural Information Processing, Master
Master of Science
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.
Mastertyp nach Kultusministerkonferenz
Internationaler Studiengang; Vollzeitstudium
Anmerkungen zum Studiengang
Bewerbungsschluss ist abweichend bereits am 15. Januar.
Was ist "Neural Information Processing"?
The GTC offers three thematically separate and largely complementary courses of study that provide research-oriented training in a wide spectrum of neuroscience topics. The interdisciplinary curricula link basic science and clinical research and, thereby, provide graduate students with a broad expertise in state-of-the-art neurosciences. The multitude of exciting research opportunities will enable students to pursue a demanding doctorate and aim at a career in science and academia. Language of instruction is English.