Real-time Closed Loop Neural Decoding on a Neuromorphic chip

被引：0

作者：

Shaikh, Shoeb ^{[1
]}

So, Rosa ^{[2
]}

Sibindi, Tafadzwa ^{[3
]}

Libedinsky, Camilo ^{[3
]}

Basu, Arindam ^{[1
]}

机构：

[1] Nanyang Technol Univ, Singapore, Singapore

[2] Inst Infocomm Res, Singapore, Singapore

[3] Natl Univ Singapore, SiNAPSE, Singapore, Singapore

来源：

2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) | 2019年

关键词：

RECORDING-SYSTEM; MACHINE;

D O I：

10.1109/ner.2019.8717122

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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 approximate to 96% of those obtained by hand-controlled joystick have been demonstrated. Also, neural control has shown mean target reach speeds of approximate to 85% of those obtained by hand-controlled joystick. These results pave the way for fast and accurate, fully implantable neuromorphic neural decoders in iBMIs.

引用

页码：670 / 673

页数：4

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