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A scalable data transmission scheme for implantable optogenetic visual prostheses

Lookup NU author(s): Dr Walid Al-Atabany, Dr Quoc Vuong, Dr Andrey Mokhov, Professor Patrick Degenaar

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

This work described a video information processing scheme for optogenetic forms of visual cortical prosthetics. Thearchitecture is designed to perform a processing sequence: Initially simplifying the scene, followed by a pragmaticvisual encoding scheme which assumes that initially optical stimulation will be stimulating bulk neural tissue ratherthan driving individual phosphenes. We demonstrate an optical encoder, combined with what we called a zero-RunLength Encoding (zRLE) video compression and decompression scheme – to wirelessly transfer information to animplantable unit in an efficient manner. In the final step, we have incorporated an even power distribution driver toprevent excessive power fluctuations in the optogenetic driving. The key novelty in this work centres on thecompleteness of the scheme, the new zRLE compression algorithm and our even power distributor. Furthermore,although the paper focusses on the algorithm, we confirm that it can be implemented on real time portable processinghardware which we will use for our visual prosthetics.


Publication metadata

Author(s): Hou Z, Al-Atabany W, Farag R, Vuong QC, Mokhov A, Degenaar P

Publication type: Article

Publication status: Published

Journal: Journal of Neural Engineering

Year: 2020

Volume: 17

Issue: 5

Print publication date: 01/10/2020

Online publication date: 13/10/2020

Acceptance date: 29/06/2020

Date deposited: 30/07/2020

ISSN (print): 1741-2560

ISSN (electronic): 1741-2552

Publisher: Institute of Physics Publishing Ltd.

URL: https://doi.org/10.1088/1741-2552/abaf2e

DOI: 10.1088/1741-2552/abaf2e

PubMed id: 33055374


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