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
Article, Bibliographie
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2023 |
| Creators: | Forró, Csaba ; Musall, Simon ; Montes, Viviana Rincón ; Linkhorst, John ; Walter, Peter ; Wessling, Matthias ; Offenhäusser, Andreas ; Ingebrandt, Sven ; Weber, Yvonne ; Lampert, Angelika ; Santoro, Francesca |
| Type of entry: | Bibliographie |
| Title: | Toward the Next Generation of Neural Iontronic Interfaces |
| Language: | English |
| Date: | 2023 |
| Journal or Publication Title: | Advanced Healthcare Materials |
| Volume of the journal: | 12 |
| Issue Number: | 20 |
| DOI: | 10.1002/adhm.202301055 |
| 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. |
| Uncontrolled Keywords: | biomimetics, iontronics, neural interfaces, neuromorphic devices, seamless integration |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Chair for Process Engineering of Electrochemical Systems |
| Date Deposited: | 13 Sep 2023 11:13 |
| Last Modified: | 13 Sep 2023 11:13 |
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