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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. © PI ), the firing rate of spike trains 3&4 ( ©dblp:conf/nips/MaassNM02 fatcat:xg4b5c6zwvbbdefzmwjvrre6sa