TY - GEN
T1 - Low-power spike-mode silicon neuron for capacitive sensing of a biosensor
AU - Ma, Qingyun
AU - Haider, Mohammad Rafiqul
AU - Shrestha, Vinaya Lal
AU - Massoud, Yehia
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2012/7/13
Y1 - 2012/7/13
N2 - Neuromorphic computation promises to be an energy-efficient information processing technique both for the biological and the real-world environments. In this paper a novel structure of silicon neuron has been designed for measuring the variation of a sensor capacitance. The current-reuse technique and the subthreshold region operation of MOSFETs help achieving ultra-low-power consumption. The proposed silicon neuron is designed and simulated in 0.13-μm standard CMOS technology. The entire unit consists of 43 transistors and consumes only 33 nW with a supply voltage of 1 V. The output frequency is proportional to the variation of the sensor capacitance. © 2012 IEEE.
AB - Neuromorphic computation promises to be an energy-efficient information processing technique both for the biological and the real-world environments. In this paper a novel structure of silicon neuron has been designed for measuring the variation of a sensor capacitance. The current-reuse technique and the subthreshold region operation of MOSFETs help achieving ultra-low-power consumption. The proposed silicon neuron is designed and simulated in 0.13-μm standard CMOS technology. The entire unit consists of 43 transistors and consumes only 33 nW with a supply voltage of 1 V. The output frequency is proportional to the variation of the sensor capacitance. © 2012 IEEE.
UR - http://ieeexplore.ieee.org/document/6208451/
UR - http://www.scopus.com/inward/record.url?scp=84863622629&partnerID=8YFLogxK
U2 - 10.1109/WAMICON.2012.6208451
DO - 10.1109/WAMICON.2012.6208451
M3 - Conference contribution
SN - 9781467301299
BT - 2012 IEEE 13th Annual Wireless and Microwave Technology Conference, WAMICON 2012
ER -