Using computational models to understand the mechanisms of human learning and cognition
Particular focus has been in the areas of visual perception,
selective attention, awareness, executive control, and
neuropsychological disorders
The
adaptive house: a control system that learns to manage energy
resources (air heat, water heat, lighting, and ventilation) in an
actual residence to maximize the satisfaction of the inhabitants and
minimize energy consumption
Speech recognition: developing low-cost neural-net-based
hardware for speaker-dependent and speaker-independent recognition (see
Sensory, Inc.)