Mathematical equivalence of two common forms of firing rate models of neural networks.
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.
Center for Theoretical Neuroscience, Dept. of Neuroscience, Swartz Program in Theoretical Neuroscience, and Kavli Institute for Brain Science, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. ken@neurotheory.columbia.edu
Kenneth D
KD
Miller
Francesco
F
Fumarola
D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology; D013569:Synapses / Q000502:physiology