Brain–Machine Interfaces: Silk‐Enabled Conformal Multifunctional Bioelectronics for Investigation of Spatiotemporal Epileptiform Activities and Multimodal Neural Encoding/Decoding (Adv. Sci. 9/2019). Issue 9 (3rd May 2019)

• Record Type: Journal Article
• Authors: Shi, Zhifeng; Zheng, Faming; Zhou, Zhitao; Li, Meng; Fan, Zhen; Ye, Huanpeng; Zhang, Shan; Xiao, Ting; Chen, Liang; Tao, Tiger H.; Sun, Yun‐Lu; Mao, Ying
• Is Part Of: Advanced science. Volume 6:Issue 9(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-05-03
• Subjects: brain–machine interfaces -- conformal transient bioelectronics -- electrocorticogram -- neural decoding -- silk; Science -- Periodicals; 505
• DOI: 10.1002/advs.201970056
• Languages: English
• ISSNs: 2198-3844

Abstract

Abstract : In article number1801617, Tiger H. Tao, Yun‐Lu Sun, Ying Mao, and co‐workers report clinical‐friendly silk‐supported/delivered soft bioelectronics with controllable loading/delivery of therapeutic molecules and parallel optical readouts of operating states for the investigation of spatio‐temporal epileptiform activities and neural encoding/decoding.