A model for real-time computation in generic neural microcircuits

TitleA model for real-time computation in generic neural microcircuits
Publication TypeConference Proceedings
Year of Conference2002
AuthorsMaass, W., T. Natschlaeger, and H. Markram
Conference NameNIPS 2002: Advances in Neural Information Processing Systems
Volume15
Pagination213–220
Date Published2003
PublisherMIT Press
Abstract

 
A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real-time. We propose a new computational model that does not require a task-dependent construction of neural circuits. Instead it is based on principles of high dimensional dynamical systems in combination with statistical learning theory, and can be implemented on generic evolved or found recurrent circuitry.