Brings together the community of scientists and engineers in the field of neural networks and connectionist systems. Includes mission statement, activities, publications and contact information.

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

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

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

Research in systems biophysics, theoretical biology and complex systems.

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

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

Group working on coding strategies of the visual system for object recognition and scene analysis.

Research in artificial neural networks, pattern recognition and signal processing.

Inter-disciplinary research in engineering, neuroscience and medicine.