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Subthreshold MOS dynamic translinear neural and synaptic conductance

机译:亚阈值MOS动态跨线性神经和突触电导

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Recent advances in neuromorphic engineering for brain-like computing and neural prostheses are converging towards realization of electronic synaptic arrays approaching the integration density and energy efficiency of the human brain. A major impediment in this development is practical realization of complex conductance-based models of biophysical neural and synaptic dynamics in nanoscale electronics. Here we present such highly compact and low-power realizations, where each conductance is implemented using a single MOS transistor operating in subthreshold. Three alternative realizations are shown, implementing log-domain transformations of the conductance-based dynamics using translinear current scaling, capacitance scaling, and voltage scaling. Transistor level simulations validate the linearity of single transistor neural and synaptic conductance-capacitance dynamics in a 90nm CMOS process.
机译:用于脑样计算和神经假体的神经形态工程学的最新进展正在趋向于实现接近人类大脑的集成密度和能量效率的电子突触阵列的实现。该发展中的主要障碍是纳米电子系统中基于电导的生物物理神经和突触动力学复杂模型的实际实现。在这里,我们介绍了这种高度紧凑和低功耗的实现方式,其中,每个电导都使用一个亚阈值下工作的MOS晶体管来实现。显示了三个替代实现,它们使用跨线性电流缩放,电容缩放和电压缩放来实现基于电导的动力学的对数域转换。晶体管级仿真验证了90nm CMOS工艺中单晶体管神经和突触电导电容动态的线性。

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