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

Mathematical theories of the mind, learning and memory in biological and artificial neural networks.

Neural networks for biomedical applications, sensory analysis, quality control and signal processing.

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

The theory and applications of neural networks and related techniques.

Learning about sequential and structured data, bioinformatics, document processing, natural language processing, pattern recognition.

Machine learning, statistical pattern recognition, probabilistic planning, adaptive systems.

Primarily concerned with analyzing data in various forms - web logs, hypertext, XML, databases, signals and images

Mechanisms of human cognition and sensory-motor learning.

Research in systems biophysics, theoretical biology and complex systems.

Developing theory, algorithms, and software for neural network regression and classification.

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.

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.

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

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

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

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

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

Inter-disciplinary research in engineering, neuroscience and medicine.

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

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