The NEF is the main method we use for constructing neural simulations.
Semantic pointers are neural representations that carry partial semantic content and are composable into the representational structures necessary to support complex cognition. These pages describe a cognitive architecture based on them. This architecture has been used to build the world's largest functional brain model, Spaun.
Research into neural mechanisms behind many cognitive phenomena, including working memory, syntactic generalization, structured representations, associative memory, and more.
Developing a biologically plausible framework for models of neural control of movement.
Visual recognition and processing, auditory processing, etc.
Software we've developed, support, or use extensively.
Exploring general issues in theoretical neuroscience.
Important information we often refer to when modelling.
Forays into other research areas.