A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis

We are thrilled to celebrate a remarkable milestone in neurotechnology: Using Blackrock Neurotech’s technology, researchers from Stanford University and the University of Michigan have successfully developed a high-performance brain-computer interface that allows intuitive, finger-based control of a virtual quadcopterÑusing only thought.

Key Takeaways:

  • Unprecedented Precision: By decoding both vertical and horizontal movements across three finger groups (thumb, index-middle, and ring-small), the system enables continuous, four-degree-of-freedom controlÑdoubling prior systems’ functionality and achieving a six-fold improvement over EEG-based methods.
  • Exceptional Performance: During trials, the participant achieved a target acquisition rate of 76 targets per minute with 100% accuracy, marking a significant milestone in BCI functionality.
  • Human-Centered Design: The study fulfilled the research participant’s lifelong passion for flying while demonstrating the potential for restored finger movement control, showing how BCIs can be tailored to enrich lives in meaningful ways.

This accomplishment represents a pivotal step forward in addressing the unmet needs of individuals with paralysis for independence, social connection, and recreation. Beyond gaming, the technology lays the groundwork for restoring fine motor skills, enabling tasks such as typing, composing music, operating advanced software, and participating in remote work.

Blackrock Neurotech is proud to contribute our 96-channel microelectrode arrays as part of the BrainGate2 clinical trial, which made the precise decoding of neural signals possible.

Congratulations to the outstanding research team: Matthew Willsey, Nishal Shah, Donald Avansino, Nick Hahn, Ryan Jamiolkowski, Foram Kamdar, Leigh Hochberg, Francis Willett, and Jaimie Henderson.

Read the full paper in Nature Portfolio.

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