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.
Highlights
In light of the successful strides achieved in biomedical technology in the last couple of decades, the 21st century is experiencing intensified demands in ultralow current biosensors as it has become increasingly apparent that ultralow current sensors play a critical role in many bioapplications, especially those aimed at biosensing systems
This paper introduces a modified version of the regular spiking feature achieved by altering the model parameters
In this paper an ultralow current sensor system based on a neuron model has been presented
Summary
In light of the successful strides achieved in biomedical technology in the last couple of decades, the 21st century is experiencing intensified demands in ultralow current biosensors as it has become increasingly apparent that ultralow current sensors play a critical role in many bioapplications, especially those aimed at biosensing systems. A lot of effort has already been put into the advancement of spike based neuron sensor applications such as tactile sensing [5], biomolecular detections [6], and capacitive biosensor [7]. Due to the compensations mentioned above an ultralow current detection sensor based on neural spiking model has been introduced in this paper. A notable observation here is that the spiking features of this particular neuron model are always triggered at ultralow current, usually in the picoampere (pA) to nanoampere (nA). In this paper a neural spiking based biosensor has been proposed which has a 2 pA to 8 nA input sensing current range with high linearity.
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