Listening to speech with a guinea pig-to-human brain-to-brain interface

Abstract Nicolelis wrote in his 2003 review on brain-machine interfaces (BMIs) that the design of a successful BMI relies on general physiological principles describing how neuronal signals are encoded. Our study explored whether neural information exchanged between brains of different species is po...

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Autores principales:	Claus-Peter Richter, Petrina La Faire, Xiaodong Tan, Pamela Fiebig, David M. Landsberger, Alan G. Micco
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6e92f167ed454de39e23219ab2bbc6be
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spelling	oai:doaj.org-article:6e92f167ed454de39e23219ab2bbc6be2021-12-02T14:58:20ZListening to speech with a guinea pig-to-human brain-to-brain interface10.1038/s41598-021-90823-12045-2322https://doaj.org/article/6e92f167ed454de39e23219ab2bbc6be2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90823-1https://doaj.org/toc/2045-2322Abstract Nicolelis wrote in his 2003 review on brain-machine interfaces (BMIs) that the design of a successful BMI relies on general physiological principles describing how neuronal signals are encoded. Our study explored whether neural information exchanged between brains of different species is possible, similar to the information exchange between computers. We show for the first time that single words processed by the guinea pig auditory system are intelligible to humans who receive the processed information via a cochlear implant. We recorded the neural response patterns to single-spoken words with multi-channel electrodes from the guinea inferior colliculus. The recordings served as a blueprint for trains of biphasic, charge-balanced electrical pulses, which a cochlear implant delivered to the cochlear implant user’s ear. Study participants completed a four-word forced-choice test and identified the correct word in 34.8% of trials. The participants' recognition, defined by the ability to choose the same word twice, whether right or wrong, was 53.6%. For all sessions, the participants received no training and no feedback. The results show that lexical information can be transmitted from an animal to a human auditory system. In the discussion, we will contemplate how learning from the animals might help developing novel coding strategies.Claus-Peter RichterPetrina La FaireXiaodong TanPamela FiebigDavid M. LandsbergerAlan G. MiccoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Claus-Peter Richter Petrina La Faire Xiaodong Tan Pamela Fiebig David M. Landsberger Alan G. Micco Listening to speech with a guinea pig-to-human brain-to-brain interface
description	Abstract Nicolelis wrote in his 2003 review on brain-machine interfaces (BMIs) that the design of a successful BMI relies on general physiological principles describing how neuronal signals are encoded. Our study explored whether neural information exchanged between brains of different species is possible, similar to the information exchange between computers. We show for the first time that single words processed by the guinea pig auditory system are intelligible to humans who receive the processed information via a cochlear implant. We recorded the neural response patterns to single-spoken words with multi-channel electrodes from the guinea inferior colliculus. The recordings served as a blueprint for trains of biphasic, charge-balanced electrical pulses, which a cochlear implant delivered to the cochlear implant user’s ear. Study participants completed a four-word forced-choice test and identified the correct word in 34.8% of trials. The participants' recognition, defined by the ability to choose the same word twice, whether right or wrong, was 53.6%. For all sessions, the participants received no training and no feedback. The results show that lexical information can be transmitted from an animal to a human auditory system. In the discussion, we will contemplate how learning from the animals might help developing novel coding strategies.
format	article
author	Claus-Peter Richter Petrina La Faire Xiaodong Tan Pamela Fiebig David M. Landsberger Alan G. Micco
author_facet	Claus-Peter Richter Petrina La Faire Xiaodong Tan Pamela Fiebig David M. Landsberger Alan G. Micco
author_sort	Claus-Peter Richter
title	Listening to speech with a guinea pig-to-human brain-to-brain interface
title_short	Listening to speech with a guinea pig-to-human brain-to-brain interface
title_full	Listening to speech with a guinea pig-to-human brain-to-brain interface
title_fullStr	Listening to speech with a guinea pig-to-human brain-to-brain interface
title_full_unstemmed	Listening to speech with a guinea pig-to-human brain-to-brain interface
title_sort	listening to speech with a guinea pig-to-human brain-to-brain interface
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6e92f167ed454de39e23219ab2bbc6be
work_keys_str_mv	AT clauspeterrichter listeningtospeechwithaguineapigtohumanbraintobraininterface AT petrinalafaire listeningtospeechwithaguineapigtohumanbraintobraininterface AT xiaodongtan listeningtospeechwithaguineapigtohumanbraintobraininterface AT pamelafiebig listeningtospeechwithaguineapigtohumanbraintobraininterface AT davidmlandsberger listeningtospeechwithaguineapigtohumanbraintobraininterface AT alangmicco listeningtospeechwithaguineapigtohumanbraintobraininterface
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Listening to speech with a guinea pig-to-human brain-to-brain interface

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