Title :
Ultra-low Spike Rate Silicon Neuron
Author :
Wong, Yanyi L. ; Xu, Peng ; Abshire, Pamela
Author_Institution :
Univ. of Maryland, College Park
Abstract :
We present theory, design and simulation results for a silicon neuron circuit that achieves extremely low spike rates and small footprint by exploiting the low current characteristics in floating gate structures. As in biological counterparts, the spike rate is compressed against stimulant current. Simulations confirm sub-Hertz spike rates in steady state with a stimulant current of 7pA and below, and up to 100x spike rate reduction at InA. With reasonable device variation modelling, Monte Carlo simulation shows that spike rate varies by a standard deviation of 25%.
Keywords :
Monte Carlo methods; biocybernetics; neural nets; Monte Carlo simulation; Si; floating gate structure; silicon neuron circuit design; silicon neuron circuit simulation; silicon neuron circuit theory; stimulant current; ultralow spike rate silicon neuron; Biological information theory; Biological system modeling; Biology computing; Capacitors; Circuit simulation; Frequency; MOSFETs; Neurons; Silicon; Voltage;
Conference_Titel :
Biomedical Circuits and Systems Conference, 2007. BIOCAS 2007. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-1524-3
Electronic_ISBN :
978-1-4244-1525-0
DOI :
10.1109/BIOCAS.2007.4463317
