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Compliant semiconductor scaffolds: building blocks for advanced neural interfaces

Detalles Bibliográficos
Autor principal: Cavallo, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705776/
https://www.ncbi.nlm.nih.gov/pubmed/26807099
http://dx.doi.org/10.4103/1673-5374.165297
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author Cavallo, Francesca
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spelling pubmed-47057762016-01-22 Compliant semiconductor scaffolds: building blocks for advanced neural interfaces Cavallo, Francesca Neural Regen Res Perspective Medknow Publications & Media Pvt Ltd 2015-11 /pmc/articles/PMC4705776/ /pubmed/26807099 http://dx.doi.org/10.4103/1673-5374.165297 Text en Copyright: © Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Perspective
Cavallo, Francesca
Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title_full Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title_fullStr Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title_full_unstemmed Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title_short Compliant semiconductor scaffolds: building blocks for advanced neural interfaces
title_sort compliant semiconductor scaffolds: building blocks for advanced neural interfaces
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705776/
https://www.ncbi.nlm.nih.gov/pubmed/26807099
http://dx.doi.org/10.4103/1673-5374.165297
work_keys_str_mv AT cavallofrancesca compliantsemiconductorscaffoldsbuildingblocksforadvancedneuralinterfaces