Neural Comp. Sign up for ETOCS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Humphries, M. D.
Right arrow Articles by Gurney, K.
PubMed
Right arrow Articles by Humphries, M. D.
Right arrow Articles by Gurney, K.
(Neural Computation. 2007;19:3216-3225.)
© 2007 The MIT Press

Note

Solution Methods for a New Class of Simple Model Neurons

Mark D. Humphries

m.d.humphries{at}sheffield.ac.uk Adaptive Behaviour Research Group, Department of Psychology, University of Sheffield, Sheffield S10 2TP, U.K.

Kevin Gurney

K.Gurney{at}shef.ac.uk Adaptive Behaviour Research Group, Department of Psychology, University of Sheffield, Sheffield S10 2TP, U.K.

Izhikevich (2003) proposed a new canonical neuron model of spike generation. The model was surprisingly simple yet able to accurately replicate the firing patterns of different types of cortical cell. Here, we derive a solution method that allows efficient simulation of the model.






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 2007 by The MIT Press.