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Fields of interest:

Professor Friston's research spans methodology, with a special emphasis on data characterization and analysis, through to theoretical neurobiology. The methodological components can be broadly classified into those that deal with evoked physiological responses in the brain (i.e functional segregation) and those that deal with functional integration (e.g models of effective connectivity).

Recent publications:

L.M. Harrison, O. David, K.J. Friston:
Stochastic models of neuronal dynamics,
Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1457), (2005), pp. 1075-1091.

W. Penny, Z. Ghahramani, K. Friston:
Bilinear dynamical systems,
Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1457), (2005), pp. 983-993.

K. Friston:
A theory of cortical responses,
Philos. Trans. R. Soc. Lond. B. Biol. Sci., Vol. 360(1456), (2005), pp. 815-836.

O. David, L. Harrison, K.J. Friston:
Modelling event-related responses in the brain,
Neuroimage, Vol. 25(3), (2005), pp. 756-70.

K. Friston:
Learning and inference in the brain,
Neural Netw., Vol. 16(9), (2003), pp. 1325-1352.

K. Friston:
Functional integration and inference in the brain,
Prog Neurobiol., Vol. 68(2), (2002), pp. 113-143