TY - GEN
T1 - Ultra-low spike rate silicon neuron
AU - Wong, Yanyi L.
AU - Xu, Peng
AU - Abshire, Pamela
PY - 2007
Y1 - 2007
N2 - 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 1nA. With reasonable device variation modelling, Monte Carlo simulation shows that spike rate varies by a standard deviation of 25%.
AB - 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 1nA. With reasonable device variation modelling, Monte Carlo simulation shows that spike rate varies by a standard deviation of 25%.
UR - https://www.scopus.com/pages/publications/77952933168
U2 - 10.1109/BIOCAS.2007.4463317
DO - 10.1109/BIOCAS.2007.4463317
M3 - Conference contribution
AN - SCOPUS:77952933168
SN - 142441525X
SN - 9781424415250
T3 - Conference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
SP - 95
EP - 98
BT - Conference Proceedings - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
T2 - IEEE Biomedical Circuits and Systems Conference Healthcare Technology, BiOCAS2007
Y2 - 27 November 2007 through 30 November 2007
ER -