Erik Billing
Associate Professor of Informatics
The goal of this project is to provide comprehensive solutions to the problems of scene and object representation and behavioral sequence generation in cognitive autonomous robots.
These solutions are inspired by an understanding of human cognition and its development. Our hypothesis is that the language of neural dynamics is ideally suited for this task.
Neural attractor states enable the capacities to exploit lowlevel sensory information and to deal with dynamic environments. Perceptual and motor decisions, working memory, and other elementary forms of cognition emerge from dynamical instabilities, in which attractor states change qualitatively.