To implement the spiking neurons with pulse input and output, this paper studies similarity between current pulses and the Coulomb oscillations of single-electron transistor (SET). Based on the similarity, a new spiking neuron circuits model is designed and implemented with SETs, and simulated using PSPICE. The simulation results demonstrate that the model meets the needs of regular spiking of Izhikevich spiking neurons and has the capacity of spiking encoding via input and output of current pulses.
LIU Wen-peng, CHEN Xu, LU Hua-xiang
. Spiking Neuron Model Based on Single-Electron Transistors[J]. Journal of Applied Sciences, 2012
, 30(6)
: 649
-654
.
DOI: 10.3969/j.issn.0255-8297.2012.06.015
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