Systems and Computational Neuroscience :: Cambridge.
The curriculum for the Computational Neuroscience program involves coursework, passing a preliminary examination, passing a thesis defense examination, completing a thesis, and participating in Committee activities such as the seminar series, student talks, and the Neuroscience Cluster Retreat.
Neural engineering research at Duke involves a variety of in vitro, in vivo and computational modeling techniques that bridge knowledge of the detailed biophysical mechanisms of single neurons with the study of their activity at the population level.
Funded PhD Programme (Students Worldwide) The International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research seeks applicants for a PhD fellowship to be based at University College London (UCL) under the supervision of Dr Dominik Bach (bachlab.org).
Computational, theoretical and systems neuroscience has been a recent focus of development for the neuroscience community at Cambridge. Computational neuroscience is an important research strategy of the Cambridge Computational Biology Institute.There are also particular strengths in experimental approaches in this area across a range of departments, including the Department of Applied.
Miguel Nicolelis, M.D., Ph.D., is the Duke School of Medicine Distinguished Professor of Neuroscience, Duke University Professor of Neurobiology, Biomedical Engineering and Psychology and Neuroscience, and founder of Duke's Center for.
The University of Nottingham’s computational neuroscience research group, led by Mark van Rossum, Mark Humphries and Stephen Coombes, uniquely bridges psychology and mathematics. Our research covers all facets of computational research on the brain, from the changes at a single synapse, through the dynamics of large populations, to the bases of learning and movement dysfunction in neural.
Overview. PhD students from different backgrounds in natural sciences, mathematics, engineering sciences or computer science are provided with a thorough scientific and methodological basis in computational neuroscience and neurotechnology for an academic or application-oriented career.