mos门控PNPN二极管用于硬件尖峰神经网络的可变性评估

2023 35th International Conference on Microelectronic Test Structure (ICMTS) Pub Date : 2023-03-27 DOI:10.1109/ICMTS55420.2023.10094054

Toshihiro Takada, Takayuki Mori, J. Ida

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引用次数: 0

摘要

对金属氧化物半导体门控PNPN二极管神经元功能器件的可变性进行了评价。已知神经元的可变性会影响尖峰神经网络(snn)的推理精度。该器件本身具有随机操作特性，且尖峰频率可由栅极电压控制，有可能提高snn的精度。

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Variability Evaluation of MOS-gated PNPN Diode for Hardware Spiking Neural Network

The variability of the neuronal function device of a metal oxide semiconductor-gated PNPN diode was evaluated. The variability of neurons is known to affect the inference accuracy of spiking neural networks (SNNs). The device has stochastic operation on its own, and the spike frequency can be controlled by the gate voltage, which has the possibility to improve the accuracy of SNNs.

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2023 35th International Conference on Microelectronic Test Structure (ICMTS)

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