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Circuit implementation of neural FitzHugh-Nagumo equations

机译:神经筋压 - Nagumo方程的电路实现

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A circuit that emulates FitzHugh-Nagumo's differential equations using OTAs, diodes, and capacitors is proposed. These equations model the fundamental behavior of an organic neuron cell, i.e. if the input is below a certain threshold, no output is observed, and if it is above threshold, the output yields a sequence of firing pulses. The circuit is obtained by using a general method for implementing nonlinear differential equations. The resulting circuit, due to the (voltage) programmability of the OTA, allows one to easily vary parameters. Thus, a large family of solutions can be obtained, including the Van der Pol's equation. Experimental results from a breadboard prototype that show the suitability of the technique and its potential for CMOS implementation are given.
机译:提出了一种使用OTA,二极管和电容器模拟Fitzhugh-Nagumo的微分方程的电路。这些方程模型是有机神经元细胞的基本行为,即,如果输入低于某个阈值,则不观察到输出,如果它高于阈值,则输出产生一系列烧制脉冲序列。通过使用用于实现非线性微分方程的一般方法获得电路。由于OTA的(电压)可程序性,所得到的电路允许一个容易地改变参数。因此,可以获得大量的解决方案,包括van der Pol的等式。给出了薄板原型的实验结果,显示了技术的适用性及其对CMOS实现的潜力。

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