Flexible and smart electronics for single-cell resolved brain–machine interfaces

计算机科学 数码产品 脑-机接口 神经科学 电气工程 工程类 脑电图 生物
作者
Ariel J. Lee,Wenbo Wang,Jia Liu
出处
期刊:Applied physics reviews [American Institute of Physics]
卷期号:10 (1) 被引量:7
标识
DOI:10.1063/5.0115879
摘要

Brain–machine interfaces (BMIs) offer the potential for the development of communication tools between the brain and external devices. The current BMI technologies for recording and modulation of electric signals from the brain have made significant contributions to areas such as neuroscience, disease diagnosis, and rehabilitation. Next-generation BMIs require long-term stable recording and modulation of electrical signals from statistically significant neuron populations with millisecond single-cell spatiotemporal resolution. However, there are challenges to achieving this stability due to the mechanical and geometrical mismatches between electronics and the brain tissue. In addition, the requirement to achieve cell-type-specific neuromodulation and transmit and process the ever-increasing volume of data on-the-fly necessitates the implementation of smart electronics. In this review, we first summarize the requirements, challenges, and current limitations of BMIs. We then highlight three major approaches to the fabrication of flexible electronics as implantable electronics, aimed at enabling long-term stable and gliosis-free BMIs. The progress of multifunctional electronics for multimodal recording and modulation of cell-type-specific components in the brain is also discussed. Furthermore, we discuss the integration of wireless and closed-loop modulation, and on-chip processing as smart electronic components for BMIs. Finally, we examine the remaining challenges in this field and the future perspectives for how flexible and smart electronics can address these problems and continue to advance the field of BMIs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可爱的函函应助lin采纳,获得10
2秒前
2秒前
步灭发布了新的文献求助10
3秒前
2947063576完成签到,获得积分10
4秒前
冷傲路灯完成签到,获得积分10
5秒前
5秒前
6秒前
yyh发布了新的文献求助10
6秒前
tttccc完成签到,获得积分20
6秒前
zhigaow发布了新的文献求助10
8秒前
jrh发布了新的文献求助10
8秒前
9秒前
冷傲路灯发布了新的文献求助10
9秒前
热情的咖啡完成签到,获得积分10
10秒前
10秒前
fengliurencai完成签到,获得积分10
10秒前
栀子完成签到,获得积分10
12秒前
12秒前
12秒前
aaa完成签到 ,获得积分10
12秒前
13秒前
13秒前
yingxinfu完成签到,获得积分10
13秒前
科研通AI6.1应助yyh采纳,获得10
13秒前
14秒前
mawanyu发布了新的文献求助20
14秒前
14秒前
Leo关闭了Leo文献求助
15秒前
科研通AI6.2应助常梦然采纳,获得10
15秒前
熙原完成签到,获得积分10
15秒前
16秒前
科研通AI6.3应助等待世平采纳,获得10
16秒前
李爱国应助等待世平采纳,获得10
16秒前
科研通AI6.2应助等待世平采纳,获得10
16秒前
南湖秋水发布了新的文献求助10
16秒前
烟花应助等待世平采纳,获得10
16秒前
Ava应助等待世平采纳,获得10
16秒前
李爱国应助等待世平采纳,获得10
16秒前
小刘鸭发布了新的文献求助30
16秒前
xiaoxiao发布了新的文献求助10
16秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Handbook of pharmaceutical excipients, Ninth edition 1500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6011418
求助须知:如何正确求助?哪些是违规求助? 7560911
关于积分的说明 16136853
捐赠科研通 5158108
什么是DOI,文献DOI怎么找? 2762676
邀请新用户注册赠送积分活动 1741453
关于科研通互助平台的介绍 1633646