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Progress in Brain‐Compatible Interfaces with Soft Nanomaterials
Author(s) -
Jeong YongCheol,
Lee Han Eol,
Shin Anna,
Kim DaeGun,
Lee Keon Jae,
Kim Daesoo
Publication year - 2020
Publication title -
advanced materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.707
H-Index - 527
eISSN - 1521-4095
pISSN - 0935-9648
DOI - 10.1002/adma.201907522
Subject(s) - brain–computer interface , biocompatible material , optogenetics , materials science , neural engineering , neuroscience , nanomaterials , biological neural network , brain tissue , compatibility (geochemistry) , computer science , nanotechnology , biomedical engineering , artificial intelligence , electroencephalography , engineering , biology , composite material
Neural interfaces facilitating communication between the brain and machines must be compatible with the soft, curvilinear, and elastic tissues of the brain and yet yield enough power to read and write information across a wide range of brain areas through high‐throughput recordings or optogenetics. Biocompatible‐material engineering has facilitated the development of brain‐compatible neural interfaces to support built‐in modulation of neural circuits and neurological disorders. Recent developments in brain‐compatible neural interfaces that use soft nanomaterials more suitable for complex neural circuit analysis and modulation are reviewed. Preclinical tests of the compatibility and specificity of these interfaces in animal models are also discussed.