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Cognitive and computational neuroscience provide the foundation for understanding the relationship between brain function and the cognitive, perceptual and motor mechanisms which underpin behaviour.

At Sheffield we have a strong track record in both computational neuroscience and cognitive neuroscience. Recently, this strength has been consolidated by the creation of the Centre for Signal Processing in Neuroimaging and Systems Neuroscience. Areas of special interest include the neurobiology and cognitive neuroscience of action selection; oculomotor control and the cerebellum; memory and learning; the neural basis of addiction; sensory control of dopamine; the rat somatosensory pathway; automatic and controlled processing.

Investigative techniques include anatomical tracing, multi-electrode electrophysiology, optical imaging, behavioural observation, computational modelling at several levels of description (from the biophysics of neural membranes to neural populations) and robotics.

This broad-based interdisciplinary course, taught by internationally recognised experts, will provide:
*A broad and critical understanding of leading-edge cognitive and computational neuroscience and an appreciation of different approaches for understanding brain function.
*Development of a range of computational and analytic skills relevant to the modelling of brain function.
*The ability to generate and test specific experimental hypotheses which incorporate constraints derived from psychophysics, cognitive neuroscience, and behavioural studies.
*Experience of the rich scientific culture provided by a thriving interdisciplinary community that rewards innovation, fosters a sense of community and encourages students to direct their own learning.
*The MSc includes an extended project giving the opportunity to work closely with individual scientists on topics central to their research.

After gaining the MSc you will be well placed to continue research in academia, or in industry in robotics.