Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration
-
- Lan Luan
- Department of Physics, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Xiaoling Wei
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Zhengtuo Zhao
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Jennifer J. Siegel
- Center for Learning and Memory, Institute for Neuroscience, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Ojas Potnis
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Catherine A Tuppen
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Shengqing Lin
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Shams Kazmi
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Robert A. Fowler
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Stewart Holloway
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Andrew K. Dunn
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Raymond A. Chitwood
- Center for Learning and Memory, Institute for Neuroscience, the University of Texas at Austin, Austin, TX 78712–1192, USA.
-
- Chong Xie
- Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX 78712–1192, USA.
Abstract
<jats:p>Subcellular-sized, ultraflexible electrodes form seamless integration with the living brain and afford chronically reliable recording.</jats:p>
Journal
-
- Science Advances
-
Science Advances 3 (2), 1-, 2017-02-03
American Association for the Advancement of Science (AAAS)
- Tweet
Details 詳細情報について
-
- CRID
- 1361699995445877632
-
- ISSN
- 23752548
-
- Data Source
-
- Crossref