A Closed-loop Brain-Machine Interface SoC Featuring a 0.2μJ/class Multiplexer Based Neural Network
arxiv(2024)
摘要
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
consumption of only 0.2μJ/class in sleep staging task.
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