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.