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EPFL's Shoaran and his team have developed LogSync, a low-power implantable neural system-on-chip. According to related reports, the chip measures about 4x2 mm and can record brain activity and extract biomarkers such as brainwave intensity and cross-brain-region signal synchrony, after which machine learning algorithms distinguish cognitive and emotional states and trigger stimulation. The reports state that its power consumption is below 200 microwatts; the research was validated using human brain recordings from previous psychiatric experiments and rat experiments at the University of Minnesota, and the results were published in the IEEE Journal of Solid-State Circuits. There are currently no further developments.
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Oct 23
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EPFL develops LogSync neural chip that can decode interactions between brain regions and identify cognitive and emotional states in real time
EPFL researchers have developed an implantable neural chip called LogSync, measuring about 4x2 mm, which can record brain activity and extract biomarkers such as brainwave intensity and cross-brain-region signal synchrony, after which machine learning algorithms distinguish cognitive and emotional states and trigger stimulation. The chip consumes less than 200 microwatts. The research was validated using human brain recordings from previous psychiatric experiments and rat experiments at the University of Minnesota, and the results were published in the IEEE Journal of Solid-State Circuits.