Restoring Proprioception via a Cortical Prosthesis: A Novel Learning-Based Approach

Abstract

The goal of this work is to use electrical microstimulation to provide artificial proprioception for individuals using Brain-Machine Interfaces (BMIs), and particular for spinal cord injury. Preliminary results suggest that performance levels with combined artificial feedback and visual feedback exceeds that achievable with visual feedback alone. We have also developed new and powerful schemes to remove the electrical artifacts due microstimulation from the neural recordings used for BMI control. This allows us to move to a much more efficient paradigm with continuous brain read out for BMI control of an external device and write in for artificial sensory feedback from that device.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
AD1002593

Entities

People

  • Joseph E. O'Doherty
  • Philip N. Sabes
  • Timothy Hanson

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Adaptive Filters
  • Artifacts
  • Assistive Technologies
  • Brain
  • Connective Tissue
  • Data Analysis
  • Feedback
  • Learning
  • Medical Personnel
  • Proprioception
  • Prostheses And Implants
  • Prosthetics
  • Sensation
  • Spinal Cord
  • Spinal Injuries
  • Training
  • Two Dimensional

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.
  • Neuroscience