The MSc in Neural Systems and Computation provides transdisciplinary knowledge, skills, and a mindset to prepare researchers for their first decade of independent research, or a contribution to industry.
You will have the opportunity to be trained and mentored in the following areas:
-
systems neuroscience and the current understanding of how neural architectures give rise to sensory, motor and cognitive functions
-
neural computation and how theories of neural computation relate to the classical theory of computation
-
experimental techniques in neurobiology such as electrophysiology, optical imaging and electron microscopy
-
theories, methods, and algorithms employed in the computational analysis of neurobiological data
-
theory and design principles for the construction of neuromorphic hardware and of systems that interact intelligently with the world
The training covers how to:
-
conduct independent scientific research and complete a research project
-
analyze, evaluate, and summarize scientific literature and write a research proposal
-
present scientific research results in talks and written reports targeted at specialist, trans-disciplinary, and general audiences