Forró, Csaba ; Musall, Simon ; Montes, Viviana Rincón ; Linkhorst, John ; Walter, Peter ; Wessling, Matthias ; Offenhäusser, Andreas ; Ingebrandt, Sven ; Weber, Yvonne ; Lampert, Angelika ; Santoro, Francesca (2023)
Toward the Next Generation of Neural Iontronic Interfaces.
In: Advanced Healthcare Materials, 12 (20)
doi: 10.1002/adhm.202301055
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Neural interfaces are evolving at a rapid pace owing to advances in material science and fabrication, reduced cost of scalable complementary metal oxide semiconductor (CMOS) technologies, and highly interdisciplinary teams of researchers and engineers that span a large range from basic to applied and clinical sciences. This study outlines currently established technologies, defined as instruments and biological study systems that are routinely used in neuroscientific research. After identifying the shortcomings of current technologies, such as a lack of biocompatibility, topological optimization, low bandwidth, and lack of transparency, it maps out promising directions along which progress should be made to achieve the next generation of symbiotic and intelligent neural interfaces. Lastly, it proposes novel applications that can be achieved by these developments, ranging from the understanding and reproduction of synaptic learning to live-long multimodal measurements to monitor and treat various neuronal disorders.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Forró, Csaba ; Musall, Simon ; Montes, Viviana Rincón ; Linkhorst, John ; Walter, Peter ; Wessling, Matthias ; Offenhäusser, Andreas ; Ingebrandt, Sven ; Weber, Yvonne ; Lampert, Angelika ; Santoro, Francesca |
| Art des Eintrags: | Bibliographie |
| Titel: | Toward the Next Generation of Neural Iontronic Interfaces |
| Sprache: | Englisch |
| Publikationsjahr: | 2023 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Advanced Healthcare Materials |
| Jahrgang/Volume einer Zeitschrift: | 12 |
| (Heft-)Nummer: | 20 |
| DOI: | 10.1002/adhm.202301055 |
| Kurzbeschreibung (Abstract): | Neural interfaces are evolving at a rapid pace owing to advances in material science and fabrication, reduced cost of scalable complementary metal oxide semiconductor (CMOS) technologies, and highly interdisciplinary teams of researchers and engineers that span a large range from basic to applied and clinical sciences. This study outlines currently established technologies, defined as instruments and biological study systems that are routinely used in neuroscientific research. After identifying the shortcomings of current technologies, such as a lack of biocompatibility, topological optimization, low bandwidth, and lack of transparency, it maps out promising directions along which progress should be made to achieve the next generation of symbiotic and intelligent neural interfaces. Lastly, it proposes novel applications that can be achieved by these developments, ranging from the understanding and reproduction of synaptic learning to live-long multimodal measurements to monitor and treat various neuronal disorders. |
| Freie Schlagworte: | biomimetics, iontronics, neural interfaces, neuromorphic devices, seamless integration |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Fachgebiet Verfahrenstechnik elektrochemischer Systeme (VES) |
| Hinterlegungsdatum: | 13 Sep 2023 11:13 |
| Letzte Änderung: | 13 Sep 2023 11:13 |
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| Suche nach Titel in: | TUfind oder in Google |
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