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
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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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
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