A generic neural network model to estimate populational neural activity for robust neural decoding.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: Robust and continuous neural decoding is crucial for reliable and intuitive neural-machine interactions. This study developed a novel generic neural network model that can continuously predict finger forces based on decoded populational motoneuron firing activities.

Authors

  • Rinku Roy
    Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, USA.
  • Feng Xu
    Orthopedics Department of the First Affiliated Hospital of Tsinghua University, Beijing, China.
  • Derek G Kamper
  • Xiaogang Hu