15 Credits AUTUMN

Aims/Description: This module starts by outlining some major methodological principles in computational neuroscience including the difference between approaches which are more bottom-up (biologically grounded) and those which are more top-down (algorithm-based). The rest of the module is devoted to the more bottom-up view and deals first with single neuron models including: leaky-integrate-and-fire, conductance-based, and reduced model neurons. It then goes on to deal with other structural levels of description - microcircuits, systems, and embodied or robotic models. While specific brain systems are used as a vehicle for exposition, the emphasis is always on methodological issues - how models can be built, tested and validated at each level.

Staff Contact: Prof K Gurney
Teaching Methods: Lectures, Laboratory work
Assessment: Formal Exam

Information on the department responsible for this unit (Psychology):

Departmental Home Page
Teaching timetable


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