Gradient method of learning for stochastic kinetic model of neuron
Aleksandra Świetlicka, Karol Gugała, Igor Karoń, Krzysztof Kolanowski, Mateusz Majchrzycki, Andrzej Rybarczyk · Digital Library (University of West Bohemia) · 2013
In this paper we are focusing on the kinetic extension [4] of classic model of Hodgkin and Huxley [2]. We are showing the descent gradient method used in the learning process of neuron, which is described with stochastic kinetic model. In comparison with [1] we use only 3 weights instead of 9: gNa; gK and gL: We show that this model behaves equally accurate as the model of Hodgkin and Huxley with slighter system description.