Neural chip decodes interactions between brain regions
EPFL researchers have developed a low-power, implantable neural chip called LogSync that tracks communication between brain regions in real time. The device uses machine learning to identify biomarkers for psychiatric disorders, potentially enabling more effective closed-loop deep brain stimulation.
Why it matters
This technology could revolutionize the treatment of psychiatric conditions like depression and PTSD by moving beyond static stimulation to adaptive, network-based neural modulation.
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LogSync chips, measuring approximately 4x2 mm. 2026 EPFL / Lundi13 - CC-BY-SA 4.0
EPFL researchers have developed an implantable neural chip that tracks communication across brain regions, identifying cognitive and emotional states in real time.
Deep brain stimulation (DBS) is a therapeutic technique that delivers electrical pulses to specific areas of the brain via an implant to modulate neural activity. It is already widely used for movement disorders such as Parkinson’s disease, and researchers are increasingly exploring its potential for severe psychiatric illnesses including major depression, post-traumatic stress disorder, and obsessive-compulsive disorder.
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