Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A3L-G
Session:
Number:A3L-G-3
Elliptic and Parabolic Bursting in a Digital Silicon Neuron Model
Takuya Nanami, Kazuyuki Aihara, Takashi Kohno,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
The digital spiking silicon neuron (DSSN) model is a qualitative model designed to be implemented efficiently using digital arithmetic circuits. In our previous study, we extended this model to support the neuronal activities of four cortical and thalamic neuronal classes. In this paper, we further extended this model to reproduce bursting activities of the ionic-conductance models of elliptic and parabolic bursters.