A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementation that is not only very accurate but requires low digital hardware resources. The accuracy exceeds that of the current state-of-the-art, requires fewer hardware resources to implement, and operates at a higher maximum clock frequency. The design is validated on FPGA and a normalized RMSE of 0.2039 is achieved at a maximum clock frequency of 378.07MHz.

中文翻译：

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具有可变生理参数的莫里斯 ecar 神经元的高精度数字实现


提出了 Morris-Lecar 神经元模型的高精度数字实现，以及神经科学模拟硬件加速的预期应用。这种新颖的实现采用坐标旋转数字计算机 (CORDIC) 算法来创建定点实现，该算法不仅非常准确，而且需要很少的数字硬件资源。其精度超过了当前最先进的水平，需要更少的硬件资源来实现，并且以更高的最大时钟频率运行。该设计在 FPGA 上进行了验证，最大时钟频率为 378.07MHz 时，归一化 RMSE 为 0.2039。