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Low-power neural chip reads brain signals to identify cognitive and emotional states

Oct 23, 2026

edited by Sadie Harley, reviewed by Robert Egan

by Celia Luterbacher, Ecole Polytechnique Federale de Lausanne

Low-power neural chip reads brain signals to identify cognitive and emotional states.

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, posttraumatic stress disorder and obsessive-compulsive disorder.

However, most existing DBS systems operate in what engineers call an “open loop” manner: stimulation is delivered according to predefined settings rather than continuously adapting to the patient’s brain activity. Even among closed-loop, or adaptive, systems, many rely on signals recorded from a single brain region. This is a major limitation for psychiatric disorders, where clinically relevant information may be distributed across networks of interacting brain regions.

Our work is based on the growing body of research suggesting that psychiatric disorders arise more from disruptions in communication between brain regions than from dysfunction of any single region,” explains Mahsa Shoaran, head of the Integrated Neurotechnologies Lab in EPFL’s School of Engineering and Neuro-X Institute.”

Cognitive signal processing
The LogSync chip, measuring approximately 4 x 2 mm. Credit: 2026 EPFL/Lundi13 CC BY SA 4.0

https://techxplore.com/news/2026-10-power-neural-chip-brain-cognitive.html

CCCRdg note: This is wonderful progress in creating and adapting our tools to work through the lens of unified systems thinking. The more we remember and understand how our cognitive processing functions work within one seamless looping cycle, the more we will be able to invision the resources and support to heal our whole.❤️

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