Silicon nanodisk array with a fin field-effect transistor for time-domain weighted sum calculation toward massively parallel spiking neural networks
Silicon nanodisk array with a fin field-effect transistor for time-domain weighted sum calculation toward massively parallel spiking neural networks
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DOI：
10.7567/apex.9.034201
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发表时间：
2016-02
影响因子：
2.3
通讯作者：
Takashi Tohara;Haichao Liang;Hirofumi Tanaka;M. Igarashi;S. Samukawa;K. Endo;Yasuo Takahashi;T. Morie
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文献类型：
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作者：
Takashi Tohara;Haichao Liang;Hirofumi Tanaka;M. Igarashi;S. Samukawa;K. Endo;Yasuo Takahashi;T. Morie
一个纳米盘阵列与鳍片场效应晶体管连接的尖峰神经网络的应用程序的制作和分析。该纳米器件使用由输入尖峰脉冲触发的响应的上升斜率在时域中执行加权求和。纳米盘阵列，作为一个电阻的几个千兆欧姆，是使用自组装生物纳米模板技术制造的。加权和实现的能量耗散的数量级为1 fJ，其中输入的数量可以超过一百。这个能量的数量比传统数字处理器低几个数量级。
A nanodisk array connected with a fin field-effect transistor is fabricated and analyzed for spiking neural network applications. This nanodevice performs weighted sums in the time domain using rising slopes of responses triggered by input spike pulses. The nanodisk arrays, which act as a resistance of several giga-ohms, are fabricated using a self-assembly bio-nano-template technique. Weighted sums are achieved with an energy dissipation on the order of 1 fJ, where the number of inputs can be more than one hundred. This amount of energy is several orders of magnitude lower than that of conventional digital processors.