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A 128-channel extreme learning machine-based neural decoder for brain machine interfaces
Currently, state-of-the-art motor intention decoding algorithms in brain-machine interfaces
are mostly implemented on a PC and consume significant amount of power. A machine …
are mostly implemented on a PC and consume significant amount of power. A machine …
A 16-Channel Fully Configurable Neural SoC With 1.52 W/Ch Signal Acquisition, 2.79 W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network …
SMA Zeinolabedin, FM Schüffny… - … Circuits and Systems, 2022 - ieeexplore.ieee.org
With the advent of high-density micro-electrodes arrays, develo** neural probes satisfying
the real-time and stringent power-efficiency requirements becomes more challenging. A …
the real-time and stringent power-efficiency requirements becomes more challenging. A …
A power-efficient brain-machine interface system with a sub-mW feature extraction and decoding ASIC demonstrated in nonhuman primates
Intracortical brain-machine interfaces have shown promise for restoring function to people
with paralysis, but their translation to portable and implantable devices is hindered by their …
with paralysis, but their translation to portable and implantable devices is hindered by their …