Neural Interface System Enables Throughput of 1,000-Plus Parallel Recordings

Technology #34017
Researchers at the University of Central Florida have designed an innovative brain-machine interface (BMI) system that can enable throughput of 1,000 or more parallel recordings to repair human cognitive or sensory-motor functions. The monolithically-integrated neural interface (MINI) device provides unprecedented scalability for high-density recordings. Thus, embedding more than 1,000 channels, 1,000 amplifiers and 1,000 electrodes on a silicon die is possible.


  • Provides for massive throughput of 1,000 or more parallel recordings, surpassing current BMIs
  • Flexible silicon chip implant is substantially smaller than current BMIs
  • Monolithic nature of the system can simplify surgical procedures for the implant
  • All wires are internalized within integrated circuits, preventing susceptibility to corrosion
  • Allows for battery-less operation by simultaneous wireless power and data transmission


  • Neural prosthesis

For more information, refer to the technology sheet.