Conference paper

A Model for Real-Time Computation in Generic Neural Microcircuits

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


    • LNMC-CONF-2008-001

    Record created on 2008-02-27, modified on 2017-05-12


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