Our research lies at the interface between signal processing, machine learning, neural computation, robotics and sensor systems. Our interest is in understanding how sensory systems (man-made or biological) perceive, interact with, learn from and adapt to their environments under a number of modalities, including chemical, acoustic, visual, and physiological. In the process, we draw motivation from multiple disciplines, from neurobiology to perceptual psychology