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Novel designs of spiking neuron circuit and STDP learning circuit based on memristor

机译:基于忆阻器的尖峰神经元电路和STDP学习电路的新颖设计

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The pure circuit implementation of STDP is a worthwhile work. In this study, a novel spiking neuron circuit and STDP learning circuit based on memristors are designed. The proposed spiking neuron circuit, which is based on conventional leaky integrate-and-fire neuron and utilizes the nonlinear variation of memristance, is served to generate spikes. Different release thresholds and amplitudes of the spikes can be obtained through tuning circuit parameters. Extending on the spiking neuron circuit, a STDP learning circuit is built to perform unsupervised learning behaviors. Furthermore, a crossbar array architecture is finally considered to fabricate multi-input multi-output spiking neural network which also perform STDP learning effectively. Circuit simulation results in PSPICE prove the availability of the two proposed circuits. (C) 2018 Elsevier B.V. All rights reserved.
机译:STDP的纯电路实现是一项值得努力的工作。在这项研究中,设计了一种新型的基于忆阻器的尖峰神经元电路和STDP学习电路。所提出的尖峰神经元电路基于常规的泄漏积分和发射神经元,并利用忆阻的非线性变化来产生尖峰。通过调整电路参数可以获得不同的释放阈值和尖峰幅度。在尖峰神经元电路上延伸,构建了STDP学习电路以执行无监督的学习行为。此外,最终考虑使用交叉开关阵列架构来制造多输入多输出尖峰神经网络,该网络也有效执行STDP学习。 PSPICE中的电路仿真结果证明了所提出的两个电路的可用性。 (C)2018 Elsevier B.V.保留所有权利。

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