Konrad Schroder

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Preface This book is the result of an accumulation of work done by the authors and their students over the past twelve years. In each of the years listed, 8-10 students were brought to the University of Washington for a summer REU (Research Experience for Undergraduates) program, supported by a REU Grant from the NSF. We want to thank the NSF for its(More)
We provide an asymptotically justified derivation of activity measure evolution equations (AMEE) for a finite size neural network. The approach takes into account the dynamics for each isolated neuron in the network being modeled by a biophysical model, i.e. Hodgkin-Huxley equations or their reductions. By representing the interacting network as self and(More)
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