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6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

January 2012, Vol. 24, No. 1, Pages 25-31
(doi: 10.1162/NECO_a_00221)
© 2011 Massachusetts Institute of Technology
Mathematical Equivalence of Two Common Forms of Firing Rate Models of Neural Networks
Article PDF (84.84 KB)
Abstract

We demonstrate the mathematical equivalence of two commonly used forms of firing rate model equations for neural networks. In addition, we show that what is commonly interpreted as the firing rate in one form of model may be better interpreted as a low-pass-filtered firing rate, and we point out a conductance-based firing rate model.