Towards the next generation of brain/machine interface

François Ladouceur, Xinyue Lei, Yuan Wei, Josiah Firth, Alexander Fuerbach, Nigel Lovell, Leonardo Silvestri

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)
15 Downloads (Pure)

Abstract

We report on the latest development of our photonics-based brain-machine interface. This work done in collaboration between UNSW and Macquarie University - and supported by the US Office of Naval Research-directly addresses the long-Term DARPA challenge of producing implantable chips with 1 million neural connections. To the best of our knowledge, no technology has demonstrated the potential so far to scale up to such a massive number of channels.

Original languageEnglish
Title of host publicationAOS Australian Conference on Optical Fibre Technology (ACOFT) and Australian Conference on Optics, Lasers, and Spectroscopy (ACOLS) 2019
EditorsArnan Mitchell, Halina Rubinsztein-Dunlop
Place of PublicationBellingham, Washington
PublisherSPIE
Pages1-2
Number of pages2
ISBN (Electronic)9781510631410
ISBN (Print)9781510631403
DOIs
Publication statusPublished - 30 Dec 2019
EventAOS Australian Conference on Optical Fibre Technology, ACOFT 2019 and Australian Conference on Optics, Lasers, and Spectroscopy, ACOLS 2019 - Melbourne, Australia
Duration: 9 Dec 201912 Dec 2019

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume11200
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceAOS Australian Conference on Optical Fibre Technology, ACOFT 2019 and Australian Conference on Optics, Lasers, and Spectroscopy, ACOLS 2019
CountryAustralia
CityMelbourne
Period9/12/1912/12/19

Bibliographical note

Copyright 2019 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Keywords

  • Brain/machine interface
  • Optical electrodes
  • Optrodes

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