Our aim is to pioneer a “systems neurophysiology” approach to the study of the fundamental principles of computation in neural circuits. Neurophysiological studies are routinely producing vast data-sets of neural activity recordings, from a wide range of neural circuits and from a wide range of tasks. To make best use of this data, a knowledge-discovery approach is required: the data are mined for hypotheses about coding and computation; the data are then used to build models to test the hypotheses, eliminating those inconsistent with other known data on that circuit. Our work thus combines three approaches: large-scale data analysis, large-scale dynamic systems modelling, and computational neuroanatomy.

Theories of cortical computation

Dynamic map of a locomotion network

Functional networks in large-scale neural activity

The functions and dysfunctions of the basal ganglia

Computation through coherence