Neural Computing, hybrid systems, cognitive modelling, intelligent agents, distributed intelligence.

Theory and methodology of neural networks; medical applications; industrial applications; neural network simulation tools; and connectionism and cognitive modeling.

Inter-disciplinary research in engineering, neuroscience and medicine.

Group developing nonlinear estimation approaches which rapidly adapt on-line to speaker variations and changing noise sources.

An inter-departmental center at King's College London coordinating research and teaching in neural networks. Part of NEuroNet.

Studies computations in neural systems, ranging from biological systems, to theoretical models and VLSI applications.

Neural and computational principles underlying human and animal behaviour; computational neuroscience, cognitive science and adaptive systems.

Digital signal processing and applications to Biomedical Engineering and Industrial Systems.

Studies neural computational theories of perception and action, with an emphasis on learning. Directed by Geoffrey Hinton.

To understand memory, learning and cognition through experiments and computational models, and to apply this knowledge to create brain-like artificial intelligence and neural prosthetic devices.