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Mechanistic modeling suggests that low-intensity focused ultrasound can selectively recruit myelinated or unmyelinated nerve fibers

View ORCID ProfileThéo Lemaire, Elena Vicari, View ORCID ProfileEsra Neufeld, View ORCID ProfileNiels Kuster, View ORCID ProfileSilvestro Micera
doi: https://doi.org/10.1101/2020.11.19.390070
Théo Lemaire
1Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Elena Vicari
1Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2The Biorobotics Institute, Scuola Superiore Sant’Anna (SSSA), Pisa, Italy
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Esra Neufeld
3Foundation for Research on Information Technologies in Society (IT’IS), Zurich, Switzerland
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Niels Kuster
3Foundation for Research on Information Technologies in Society (IT’IS), Zurich, Switzerland
4Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland
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Silvestro Micera
1Translational Neural Engineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2The Biorobotics Institute, Scuola Superiore Sant’Anna (SSSA), Pisa, Italy
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  • For correspondence: silvestro.micera@epfl.ch
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Posted November 20, 2020.
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Mechanistic modeling suggests that low-intensity focused ultrasound can selectively recruit myelinated or unmyelinated nerve fibers
Théo Lemaire, Elena Vicari, Esra Neufeld, Niels Kuster, Silvestro Micera
bioRxiv 2020.11.19.390070; doi: https://doi.org/10.1101/2020.11.19.390070
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Mechanistic modeling suggests that low-intensity focused ultrasound can selectively recruit myelinated or unmyelinated nerve fibers
Théo Lemaire, Elena Vicari, Esra Neufeld, Niels Kuster, Silvestro Micera
bioRxiv 2020.11.19.390070; doi: https://doi.org/10.1101/2020.11.19.390070

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