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arXiv:1812.03991cs.ET

Real-time Closed Loop Neural Decoding on a Neuromorphic Chip

Shoeb Shaikh, Rosa So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu

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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 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.

arXiv comments
accepted at Neural Engineering Conference (NER), 2019
Journal reference
DOI
Subjects
cs.ETEmerging Technologies cs.ARHardware Architecture

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