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Journal of Sensors
Volume 2016, Article ID 9437129, 11 pages
http://dx.doi.org/10.1155/2016/9437129
Research Article

A Neuron Model Based Ultralow Current Sensor System for Bioapplications

Department of Electrical and Computer Engineering, The University of Alabama at Birmingham, Birmingham, AL 35294, USA

Received 30 July 2015; Revised 26 January 2016; Accepted 27 January 2016

Academic Editor: Jian-Nong Cao

Copyright © 2016 A. K. M. Arifuzzman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

An ultralow current sensor system based on the Izhikevich neuron model is presented in this paper. The Izhikevich neuron model has been used for its superior computational efficiency and greater biological plausibility over other well-known neuron spiking models. Of the many biological neuron spiking features, regular spiking, chattering, and neostriatal spiny projection spiking have been reproduced by adjusting the parameters associated with the model at hand. This paper also presents a modified interpretation of the regular spiking feature in which the firing pattern is similar to that of the regular spiking but with improved dynamic range offering. The sensor current ranges between 2 pA and 8 nA and exhibits linearity in the range of 0.9665 to 0.9989 for different spiking features. The efficacy of the sensor system in detecting low amount of current along with its high linearity attribute makes it very suitable for biomedical applications.