Low-power spike-mode silicon neuron for capacitive sensing of a biosensor

Qingyun Ma, Mohammad Rafiqul Haider, Vinaya Lal Shrestha, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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.
Original languageEnglish (US)
Title of host publication2012 IEEE 13th Annual Wireless and Microwave Technology Conference, WAMICON 2012
StatePublished - Jul 13 2012
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13


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