NEURAL SPIKE DETECTION BASED ON 1T1R MEMRISTOR

被引：0
|
作者：
Liu, Zhengwu [1 ]
Tang, Jianshi [1 ]
Gao, Bin [1 ]
Qian, He [1 ]
Wu, Huaqiang [1 ]
机构：
[1] Tsinghua Univ, Beijing Innovat Ctr Future Chips ICFC, Beijing Natl Res Ctr Informat Sci & Technol BNRis, Inst Microelect, Beijing 100084, Peoples R China
来源：
2020 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE 2020 (CSTIC 2020) | 2020年
关键词：
D O I：
10.1109/cstic49141.2020.9282494
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Neural spike detection is an important step to study the working principles of the brain and construct useful neuroprosthetics for patients with neurological diseases. However, the high power consumption of conventional electronic hardware hinders the way towards highly efficient neuroprosthetics. In this paper, an energy-efficient neural spike detector based on 1T1R memristor is presented. 69.12% TPR and 19.35% FPR can be achieved when benchmarked with a conventional method. Compared with traditional neural spike detectors, our memristor-based spike detector has shown significant advantages in both power consumption (84.5 nW compared to 815 nW in conventional hardware) and data transmission bandwidth (similar to 200x compression of raw data).
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页数：3
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