Taylor Barton;Shea Smith;Yu Hao;Ryan Watson;Kyle Rogers;Parker Allred;Bibhu Datta Sahoo;Nancy Fulda;Jordan T. Yorgason;Karl F. Warnick;Mau-Chung Frank Chang;Yen-Cheng Kuan;Shiuh-Hua Wood Chiang
{"title":"A Subthreshold Time-Domain Analog Spiking Neuron With PLL-Based Leak Circuit and Capacitive DAC Synapse","authors":"Taylor Barton;Shea Smith;Yu Hao;Ryan Watson;Kyle Rogers;Parker Allred;Bibhu Datta Sahoo;Nancy Fulda;Jordan T. Yorgason;Karl F. Warnick;Mau-Chung Frank Chang;Yen-Cheng Kuan;Shiuh-Hua Wood Chiang","doi":"10.1109/LSSC.2024.3384762","DOIUrl":null,"url":null,"abstract":"The design and measurement of a time-domain analog spiking neuron is described. The proposed neuron leverages time-domain processing using voltage-controlled oscillators (VCOs) and a time-domain comparator to integrate the input spike and trigger the output spike. A novel leaky circuit uses a phase-locked loop (PLL) to drive the phase difference between the two VCOs toward zero. A weighted capacitive digital-to-analog converter (CDAC) synapse merges the input spikes and phase-frequency detector (PFD) outputs to generate the VCO control voltage. The neuron is implemented in a 28-nm CMOS technology and operates under a subthreshold supply voltage of 0.35 V. Occupying \n<inline-formula> <tex-math>$154~\\mu {\\mathrm{ m}}^{2}$ </tex-math></inline-formula>\n, measurement shows a maximum spike rate of 5.5 MHz and energy consumption of 159 fJ/spike.","PeriodicalId":13032,"journal":{"name":"IEEE Solid-State Circuits Letters","volume":"7 ","pages":"143-146"},"PeriodicalIF":2.2000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Solid-State Circuits Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10492988/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
The design and measurement of a time-domain analog spiking neuron is described. The proposed neuron leverages time-domain processing using voltage-controlled oscillators (VCOs) and a time-domain comparator to integrate the input spike and trigger the output spike. A novel leaky circuit uses a phase-locked loop (PLL) to drive the phase difference between the two VCOs toward zero. A weighted capacitive digital-to-analog converter (CDAC) synapse merges the input spikes and phase-frequency detector (PFD) outputs to generate the VCO control voltage. The neuron is implemented in a 28-nm CMOS technology and operates under a subthreshold supply voltage of 0.35 V. Occupying
$154~\mu {\mathrm{ m}}^{2}$
, measurement shows a maximum spike rate of 5.5 MHz and energy consumption of 159 fJ/spike.