A Closed-loop Brain-Machine Interface SoC Featuring a 0.2$μ$J/class Multiplexer Based Neural Network
Year: 2024
Type: preprint
Abstract: This work presents the first fabricated electrophysiology-optogenetic closed-loop bidirectional brain-machine interface (CL-BBMI) system-on-chip (SoC) with electrical neural signal recording, on-chip sleep staging and optogenetic stimulation. The first multiplexer with static assignment based table lookup solution (MUXnet) for multiplier-free NN processor was proposed. A state-of-the-art average accuracy of 82.4% was achieved with an energy consumption of only 0.2$μ$J/class in sleep staging task.
Source: arXiv (Cornell University)
Authors: Zhang, Chao, Guo, Yongxiang, Sheng, Dawid, Ma, Zhixiong, Sun, Chao, Zhang, Yuwei, Zhao, Wenxin, Zhang, Fenyan, Wang, Tongfei, Sheng, Xing, Zhang, Milin
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4390722990