UChicago brain-machine interfaces let paralyzed patients feel touch via thought
plopesresearch · x · 2026-10-01
- UChicago neuroscientist Nicholas Hatsopoulos explains on the Big Brains podcast how his team implants microelectrode arrays to decode neural patterns fired when a person intends to move.
- The brain-machine interface tech lets paralyzed and ALS patients control robotic limbs, reach for objects, and regain touch sensation through thought.
- The work translates fundamental neuroscience—how the brain turns thought into movement—into restorative medical technology.
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