High-density mapping of primate digit representations with a 1152-channel µECoG array

计算机科学 频道(广播) 信号(编程语言) 电生理学 电极阵列 计算机硬件 模式识别(心理学) 人工智能 电极 神经科学 电信 物理 量子力学 生物 程序设计语言
作者
Taro Kaiju,Masato Inoue,Masayuki Hirata,Takafumi Suzuki
出处
期刊:Journal of Neural Engineering [IOP Publishing]
卷期号:18 (3): 036025-036025 被引量:29
标识
DOI:10.1088/1741-2552/abe245
摘要

Objective.Advances in brain-machine interfaces (BMIs) are expected to support patients with movement disorders. Electrocorticogram (ECoG) measures electrophysiological activities over a large area using a low-invasive flexible sheet placed on the cortex. ECoG has been considered as a feasible signal source of the clinical BMI device. To capture neural activities more precisely, the feasibility of higher-density arrays has been investigated. However, currently, the number of electrodes is limited to approximately 300 due to wiring difficulties, device size, and system costs.Approach.We developed a high-density recording system with a large coverage (14 × 7 mm2) and using 1152 electrodes by directly integrating dedicated flexible arrays with the neural-recording application-specific integrated circuits and their interposers.Main results.Comparative experiments with a 128-channel array demonstrated that the proposed device could delineate the entire digit representation of a nonhuman primate. Subsampling analysis revealed that higher-amplitude signals can be measured using higher-density arrays.Significance.We expect that the proposed system that simultaneously establishes large-scale sampling, high temporal-precision of electrophysiology, and high spatial resolution comparable to optical imaging will be suitable for next-generation brain-sensing technology.

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
wzz完成签到,获得积分10
1秒前
花花发布了新的文献求助10
1秒前
2秒前
zgd完成签到,获得积分10
2秒前
搜集达人应助ida采纳,获得10
2秒前
小圆完成签到,获得积分10
2秒前
3秒前
凡凡完成签到,获得积分10
3秒前
救救完成签到,获得积分10
3秒前
3秒前
慕青应助dazhu采纳,获得10
4秒前
4秒前
菠萝完成签到,获得积分20
5秒前
5秒前
6秒前
112发布了新的文献求助10
6秒前
张文群发布了新的文献求助10
6秒前
共享精神应助exonwei采纳,获得10
6秒前
香蕉觅云应助geeee采纳,获得10
6秒前
Hello应助任性雨柏采纳,获得10
7秒前
苯酚装醇发布了新的文献求助10
7秒前
英姑应助阿巴阿巴采纳,获得10
7秒前
超级的嘉儿完成签到,获得积分10
7秒前
7秒前
赘婿应助Scc采纳,获得10
8秒前
y9gyn_37完成签到,获得积分10
8秒前
勤奋的晓瑶完成签到,获得积分10
8秒前
wanci应助xiuuu采纳,获得10
8秒前
fancy完成签到,获得积分10
9秒前
麻雀完成签到 ,获得积分10
9秒前
9秒前
9秒前
9秒前
9秒前
酷波er应助tian采纳,获得10
10秒前
浮浮世世应助Marksman497采纳,获得30
10秒前
10秒前
无花果应助wxy采纳,获得10
10秒前
淡然的夜柳应助Marksman497采纳,获得10
10秒前
lx应助Marksman497采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
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
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 6017491
求助须知:如何正确求助?哪些是违规求助? 7602483
关于积分的说明 16156153
捐赠科研通 5165311
什么是DOI,文献DOI怎么找? 2764854
邀请新用户注册赠送积分活动 1746169
关于科研通互助平台的介绍 1635193