English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/161092
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Graphene based materials for ultimate neuroelectronics

AuthorsHebert, Clement; Illa, Xavi; Blaschke, Benno M.; Drieschner, Simon; Guimera Brunet, Antoni; Villa, Rosa; Sánchez-Vives, María V.; Garrido, Jose A.
Issue Date2016
CitationGraphIn 2016
AbstractNeuroelectronic devices are powerful tools to study neural networks activity and to develop neural prostheses. After two decades of investigation and exploitation, the current technologies are about to reach their limit both for fundamental neural investigation and for clinical applications. Thus, important refinements are now needed to fulfill the demanding requirements associated to these applications, such as low invasiveness, long term efficacy as well as large number of recording/stimulating sites. Graphene-based materials belong to the few new material platforms that can be used to reach these ambitious targets. Indeed, graphene and graphene-based materials combine biocompatibility, easy integration in microdevices and CMOS technology, flexibility, and high electronic performance. Further, if integrated together with complementary 2D semiconductor electronic technology, graphene sensors could eventually enable the production of ultimately flat neuroelectronic devices. In this presentation, I will discuss our latest technology developments to record electrical activity in cell cultures as well as in vivo brain activity on rat cortex.
DescriptionResumen del trabajo presentado al 2nd International Workshop Graphene Industry – Challenges & Opportunities, celebrado en Barcelona (España) el 13 de diciembre de 2016.-- et al.
Appears in Collections:(CIN2) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.