@inproceedings{ccd37e784c144b73888b5b71dec0680e,
title = "Real-time Closed Loop Neural Decoding on a Neuromorphic chip",
abstract = "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 ≈ 96\% of those obtained by hand-controlled joystick have been demonstrated. Also, neural control has shown mean target reach speeds of ≈ 85\% of those obtained by hand-controlled joystick. These results pave the way for fast and accurate, fully implantable neuromorphic neural decoders in iBMIs.",
author = "Shoeb Shaikh and Rosa So and Tafadzwa Sibindi and Camilo Libedinsky and Arindam Basu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 ; Conference date: 20-03-2019 Through 23-03-2019",
year = "2019",
month = may,
day = "16",
doi = "10.1109/NER.2019.8717122",
language = "English",
series = "International IEEE/EMBS Conference on Neural Engineering, NER",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "670--673",
booktitle = "9th International IEEE EMBS Conference on Neural Engineering, NER 2019",
address = "United States",
}