神经科学
计算机科学
生物神经网络
脑功能
可扩展性
功能(生物学)
接口(物质)
神经工程
神经系统
人机交互
纳米技术
人工智能
生物
材料科学
进化生物学
数据库
最大气泡压力法
气泡
并行计算
作者
Tiphaine Belloir,Sergio Montalvo-Vargo,Zabir Ahmed,Devon J. Griggs,Shawn Fisher,Timothy Brown,Maysamreza Chamanzar,Azadeh Yazdan-Shahmorad
出处
期刊:iScience
[Cell Press]
日期:2022-12-26
卷期号:26 (1): 105866-105866
被引量:6
标识
DOI:10.1016/j.isci.2022.105866
摘要
Deciphering the function of neural circuits can help with the understanding of brain function and treating neurological disorders. Progress toward this goal relies on the development of chronically stable neural interfaces capable of recording and modulating neural circuits with high spatial and temporal precision across large areas of the brain. Advanced innovations in designing high-density neural interfaces for small animal models have enabled breakthrough discoveries in neuroscience research. Developing similar neurotechnology for larger animal models such as nonhuman primates (NHPs) is critical to gain significant insights for translation to humans, yet still it remains elusive due to the challenges in design, fabrication, and system-level integration of such devices. This review focuses on implantable surface neural interfaces with electrical and optical functionalities with emphasis on the required technological features to realize scalable multimodal and chronically stable implants to address the unique challenges associated with nonhuman primate studies.
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