基于亚阈值方法的CMOS神经元设计中脉冲宽度对脉冲频率的影响

Archita Hore, S. Panda, Ayan Chakraborty, Sharba Bandyopadhyay, S. Chakrabarti
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引用次数: 1

摘要

神经形态电路采用模拟、数字或混合信号操作来模拟大脑的电生理行为。设计了一种CMOS神经元电路。这种神经元回路有能力控制神经元的几个特征,包括脉冲宽度。这项研究的一个独特之处在于,当脉冲宽度减少时,电路的脉冲频率增加,与生物神经元相似。本文还讨论了穗宽变化对平均穗间间隔和穗高等其他特性的影响。此外,还证明了温度对动作电位宽度的影响。根据平均功耗和每尖峰能耗对电路的性能进行了评估。所提出的电路看起来很有希望将生物合理的多样性纳入下一代脉冲神经网络架构中。
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Effects of Spike Width on Spiking Frequency in a CMOS Neuron Design Following a Subthreshold Approach
Neuromorphic circuits employ analog, digital or mixed signal operations to mimic the electrophysiological behaviour of a brain. A CMOS neuron circuit has been designed. This neuronal circuit has the capability to control several features of a neuron including spike width. A unique aspect of this study is that when spike width is decreased, spiking frequency of the circuit increases similar to biological neurons. The effects of spike width variation on other features such as mean inter spike interval and spike height have also been discussed. Further, the effects of temperature on the width of an action potential have been demonstrated. Performance of the circuit in terms of average power dissipation and energy consumption per spike have been evaluated. The proposed circuit looks promising to incorporate bio-plausible diversity in next generation spiking neural network architectures.
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