Mahowald M, Douglas R
Computation and Neural Systems Laboratory, California Institute of Technology, Pasadena 91125.
Nature. 1991;354(6354):515-8. doi: 10.1038/354515a0.
By combining neurophysiological principles with silicon engineering, we have produced an analog integrated circuit with the functional characteristics of real nerve cells. Because the physics underlying the conductivity of silicon devices and biological membranes is similar, the 'silicon neuron' is able to emulate efficiently the ion currents that cause nerve impulses and control the dynamics of their discharge. It operates in real-time and consumes little power, and many 'neurons' can be fabricated on a single silicon chip. The silicon neuron represents a step towards constructing artificial nervous systems that use more realistic principles of neuronal computation than do existing electronic neuronal networks.
通过将神经生理学原理与硅工程相结合,我们制造出了一种具有真实神经细胞功能特性的模拟集成电路。由于硅器件和生物膜导电的物理原理相似,“硅神经元”能够有效地模拟引发神经冲动的离子电流,并控制其放电动态。它实时运行且功耗低,并且可以在单个硅芯片上制造出许多“神经元”。硅神经元代表了朝着构建人工神经系统迈出的一步,该系统使用比现有电子神经网络更符合实际的神经元计算原理。