This paper presents for the first time a real-time closed loop neuromorphic decoder chip-driven intra-cortical brain machine interface (iBMI) in a non-human primate (NHP) based experimental setup. Decoded results show trial success rates and mean times to target comparable to those obtained by hand-controlled joystick. Neural control trial success rates of approximately 96% of those obtained by hand-controlled joystick have been demonstrated. Also, neural control has shown mean target reach speeds of approximately 85% of those obtained by hand-controlled joystick . These results pave the way for fast and accurate, fully implantable neuromorphic neural decoders in iBMIs.
@article{arxiv.1812.03991,
title = {Real-time Closed Loop Neural Decoding on a Neuromorphic Chip},
author = {Shoeb Shaikh and Rosa So and Tafadzwa Sibindi and Camilo Libedinsky and Arindam Basu},
journal= {arXiv preprint arXiv:1812.03991},
year = {2018}
}
Comments
accepted at Neural Engineering Conference (NER), 2019