| Abstract (2008) | |||||||||||||
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 is based on principles of high dimensional dynamical systems in combination with statistical learning theory. It can be implemented on generic evolved or found recurrent circuitry. 1 | |||||||||||||
Publication details | |||||||||||||
| |||||||||||||