A Closed-Loop Brain-Machine Interface SoC Featuring a 0.2μJ/class Multiplexer Based Neural Network-Reference-Cited by-同舟云学术

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A Closed-Loop Brain-Machine Interface SoC Featuring a 0.2μJ/class Multiplexer Based Neural Network

Published:2024-04-21 Issue: Volume: Page:1-2
ISSN:
Container-title:2024 IEEE Custom Integrated Circuits Conference (CICC)
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Author:

Zhang Chao¹,Guo Yongxiang¹,Sheng Dawid¹,Ma Zhixiong²,Sun Chao³,Zhang Yuwei³,Zhao Wenxin¹,Zhang Fenyan²,Wang Tongfei²,Sheng Xing¹,Zhang Milin¹

Affiliation:

1. Tsinghua University

2. Chinese Institute for Brain Research,Beljing

3. Beijing Ningju Technology

Funder

Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528947/10528954/10529027.pdf?arnumber=10529027

Reference7 articles.

1. Control of REM sleep by ventral medulla GABAergic neurons

2. Cortical regulation of two-stage rapid eye movement sleep

3. A 13I.Jm CMOS SoC for simultaneous multichannel opto-genetics and electrophysiological brain recording;G-Turcott;ISSCC,2018

4. 22.7 A Programmable Wireless EEG Monitoring SoC with Open/Closed-Loop Optogenetic and Electrical Stimulation for Epilepsy Control

5. UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision

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