A Neuron Model Based Ultralow Current Sensor System for Bioapplications
A Neuron Model Based Ultralow Current Sensor System for Bioapplications
复制标题
用于生物应用的基于神经元模型的超低电流传感器系统
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. Haider
中科院分区：
文献类型：
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作者：
A. Arifuzzman;Mohammad S. Islam;M. Haider
提出了一种基于Izhikevich神经元模型的超低电流传感器系统。Izhikevich神经元模型由于其比其他已知的神经元尖峰发放模型具有上级计算效率和更大的生物相容性而被使用。在许多生物神经元尖峰特征中，通过调整与手头的模型相关联的参数，已经再现了规则尖峰、抖动和新纹状体棘突投射尖峰。本文还提出了一个修改后的解释，定期扣球功能，其中发射模式是类似的定期扣球，但提供了改进的动态范围。传感器电流范围在2 pA和8 nA之间，对于不同的尖峰特性，线性范围为0.9665至0.9989。传感器系统在检测低电流量方面的功效连同其高线性属性一起沿着，使得其非常适合于生物医学应用。
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.
影响因子：
2.7
作者：
Hegde, P;Qi, R;Quackenbush, J
通讯作者：
Quackenbush, J