| Artificial Intelligence Research Laboratory - Iowa State University: Neural Computing, hybrid systems, cognitive modelling, intelligent agents, distributed intelligence. |
| Austrian Research Institute for Artificial Intelligence: Theory and methodology of neural networks; medical applications; industrial applications; neural network simulation tools; and connectionism and cognitive modeling. |
| Cavendish Laboratory Inference group - University of Cambridge: David MacKay's group working on machine learning, information theory, neural networks and Bayesian inference. |
| Center for Neural Engineering - University of Southern California: Inter-disciplinary research in engineering, neuroscience and medicine. |
| Center for Spoken Language Understanding at OGI: Group developing nonlinear estimation approaches which rapidly adapt on-line to speaker variations and changing noise sources. |
| Centre for Neural Networks - King's College London: An inter-departmental center at King's College London coordinating research and teaching in neural networks. Part of NEuroNet. |
| Computation and Neural Systems - Caltech: Studies computations in neural systems, ranging from biological systems, to theoretical models and VLSI applications. |
| Computational Intelligence and Technology Laboratory - Universidade Federal de Minas Gerais: Fundamental issues and applications of artificial neural networks, fuzzy systems and hybrid computational intelligence systems. |
| Computational Neuroscience Laboratory - UC Davis: Bruno Olshausen's group working on coding strategies of the visual system for object recognition and scene analysis. |
| Departmant of Cognitive and Neural Systems and Center for Adaptive Systems - Boston University: Neural and computational principles underlying human and animal behaviour; computational neuroscience, cognitive science and adaptive systems. |
| Digital Signal Processing Group - University of València - Estudi General: Digital signal processing and applications to Biomedical Engineering and Industrial Systems. |
| Gatsby Computational Neuroscience Unit - University College London: Studies neural computational theories of perception and action, with an emphasis on learning. Directed by Geoffrey Hinton. |
| Goodman Brain Computation Lab - University of Nevada: 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. |
| IEEE Neural Network Council: Maintains geographically organized list of Neural Computing research programs worldwide. |
| Image Processing and Neural Networks Lab at the University of Texas at Arlington: Developing theory, algorithms, and software for neural network regression and classification. |
| Institut fur Neuroinformatik - Ruhr-Universat Bochum: Research in systems biophysics, theoretical biology and complex systems. |
| Institute for Neural Computation at the University of California, San Diego: 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. |
| Kawato Dynamic Brain Project - ATR Japan: Mechanisms of human cognition and sensory-motor learning. |
| Laboratory for Artificial Neural Systems at the University of Texas at Austin.: Primarily concerned with analyzing data in various forms - web logs, hypertext, XML, databases, signals and images |
| Machine Learning - University of Toronto: Machine learning, statistical pattern recognition, probabilistic planning, adaptive systems. |
| Machine Learning and Neural Networks Group. University of Florence, Italy: Learning about sequential and structured data, bioinformatics, document processing, natural language processing, pattern recognition. |
| Neural Computing Research Group - Aston University: The theory and applications of neural networks and related techniques. |
| Neural Networks Research Centre - Helsinki University of Technology: Research in artificial neural networks, pattern recognition and signal processing. |
| Neuroengineering Laboratory at the University of California, San Diego: Application areas include computer vision (including image processing and video), text-based information retrieval, pattern recognition and learning in data bases, and large-scale optimization using novel methods. |
| NeuroTeam - University of Tübingen: Neural networks for biomedical applications, sensory analysis, quality control and signal processing. |
| Seung Lab for Theoretical Neuroscience - MIT: Mathematical theories of the mind, learning and memory in biological and artificial neural networks. |
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