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

Fundamental issues and applications of artificial neural networks, fuzzy systems and hybrid computational intelligence systems.

Bruno Olshausen's group working on coding strategies of the visual system for object recognition and scene analysis.

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.

Maintains geographically organized list of Neural Computing research programs worldwide.

Research in systems biophysics, theoretical biology and complex systems.

Devoted to research and development addressing the challenges of understanding how humans function at the neural and cognitive levels, and solving major technological problems related to neural network implementations.