Summary
International Symposium on Nonlinear Theory and Its Applications
2016
Session Number:A3L-G
Session:
Number:A3L-G-1
A Three-Variable Ultralow-Power Analog Silicon Neuron Circuit
Takashi Kohno, Kazuyuki Aihara,
pp.-
Publication Date:2016/11/27
Online ISSN:2188-5079
Summary:
A silicon neuronal network is a most fine granular approach to the neuromorphic systems whose significance is growing as a candidate for the core technology of the next generation low-power, autonomous, and intelligent computing systems. In silicon neuron circuits, there has been a trade-off between the power consumption and the capability of reproducing complex neuronal activities. We developed an ultralow-power silicon neuron circuit that can realize multiple classes of neuronal activities including square-wave bursting. Simulation results of our circuit in a square-wave bursting setting are reported.