论文标题
用于神经形态应用的广义强内CMOS电路
A Generalized Strong-Inversion CMOS Circuitry for Neuromorphic Applications
论文作者
论文摘要
在神经形态场中，系统地将生物学模型转化为模拟电子电路一直是一个挑战。在本文中，引入了广义电路设计平台，可以使用在强内进行的CMOS电路方便地实现生物模型。通过合成相对复杂的二维（2-D）非线性神经元模型来证明该方法的应用。通过名义模拟结果，我们的方法的有效性得到了来自市售AMS 0.35 UM技术的现实过程参数的验证。电路仿真结果与其数学对应物表现出定期的峰值响应。
It has always been a challenge in the neuromorphic field to systematically translate biological models into analog electronic circuitry. In this paper, a generalized circuit design platform is introduced where biological models can be conveniently implemented using CMOS circuitry operating in strong-inversion. The application of the method is demonstrated by synthesizing a relatively complex two-dimensional (2-D) nonlinear neuron model. The validity of our approach is verified by nominal simulated results with realistic process parameters from the commercially available AMS 0.35 um technology. The circuit simulation results exhibit regular spiking responses in good agreement with their mathematical counterpart.
