Cognitive and Computational Neuroscience - MSc
Cognitive and computational neuroscience provide the foundation for understanding the relationship between brain function and the cognitive, perceptual and motor mechanisms which underpin behaviour.
Specifically, computational neuroscience utilises neuroscientific data to construct rigorous computational models of brain function, whereas cognitive neuroscience relates cognitive and behavioural function to its underlying neural substrate.
Together, these new and interdependent disciplines provide the foundation for meeting one of the key scientific `Grand Challenges´ of the twenty-first century: elucidating the relationship between brain and behaviour.
-A broad and critical understanding of leading-edge cognitive and computational neuroscience.
-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.
-An appreciation of an academic scientific environment that rewards innovation, fosters a sense of community, and encourages students to direct their own learning.
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 diverse range of research interests and techniques ensures a vibrant research environment.
Fundamentals of Cognitive Neuroscience, Computational Neuroscience 1, Fundamentals of Neuroscience, Mathematical Modelling and Research Skills.
Computational Neuroscience 2, Current Issues in Systems Neuroscience, Current Issues in Cognitive Neuroscience, Brain Imaging.
Extensive Empirical Project
-Examinations at the end of semesters 1 and 2