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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Babak Mahmoudi1, Justin C Sanchez
1Department of Biomedical Engineering, University of Miami, Coral Gables, Florida, United States of America. b.mahmoudi@gmail.com
This study introduces a novel Brain Machine Interface (BMI) framework using a Perception-Action-Reward Cycle (PARC) to decode neural commands for dynamic environments. The system adapts to changing neural signals and tasks, enabling robust human-computer interaction.
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2026-06-19T13:36:35.775386+00:00