Multi-channel micro neural probe fabricated with SOI

被引:8
|
作者
Pei WeiHua [1 ,2 ]
Zhu Lin [2 ]
Wang ShuJing [2 ]
Guo Kai [2 ]
Tang Jun [2 ]
Zhang Xu [2 ]
Lu Lin [2 ]
Gao ShangKai [1 ]
Chen HongDa [2 ]
机构
[1] Tsinghua Univ, Dept Biomed Engn, Beijing 100084, Peoples R China
[2] Acad Sinica, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
micro neural probe; SOI; impedance; recording; INTERFACES;
D O I
10.1007/s11431-008-0272-9
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Silicon-on-insulator (SOI) substrate is widely used in micro-electro-mechanical systems (MEMS). With the buried oxide layer of SOI acting as an etching stop, silicon based micro neural probe can be fabricated with improved uniformity and manufacturability. A seven-record-site neural probe was formed by inductive-coupled plasma (ICP) dry etching of an SOI substrate. The thickness of the probe is 15 mu m. The shaft of the probe has dimensions of 3 mmx100 mu mx15 mu m with typical area of the record site of 78.5 mu m(2). The impedance of the record site was measured in-vitro. The typical impedance characteristics of the record sites are around 2 M Omega at 1 kHz. The performance of the neural probe in-vivo was tested on anesthetic rat. The recorded neural spike was typically around 140 mu V. Spike from individual site could exceed 700 mu V. The average signal noise ratio was 7 or more.
引用
收藏
页码:1187 / 1190
页数:4
相关论文
共 50 条
  • [41] DeepMCGCN: Multi-channel Deep Graph Neural Networks
    Meng, Lei
    Ye, Zhonglin
    Yang, Yanlin
    Zhao, Haixing
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2024, 17 (01)
  • [42] A New Neural Beamformer for Multi-channel Speech Separation
    Ruqiao Liu
    Yi Zhou
    Hongqing Liu
    Xinmeng Xu
    Jie Jia
    Binbin Chen
    Journal of Signal Processing Systems, 2022, 94 : 977 - 987
  • [43] Adaptive Multi-Channel Deep Graph Neural Networks
    Wang, Renbiao
    Li, Fengtai
    Liu, Shuwei
    Li, Weihao
    Chen, Shizhan
    Feng, Bin
    Jin, Di
    SYMMETRY-BASEL, 2024, 16 (04):
  • [44] Judge Neural Networks for Multi-channel Retailing Competition
    Lv, Hairong
    Bai, Xinxin
    Yin, Wenjun
    Dong, Jin
    Huang, Xiaolin
    IEEE/SOLI'2008: PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS, VOLS 1 AND 2, 2008, : 2633 - +
  • [45] A Multi-channel Neural Network for Imbalanced Emotion Recognition
    Li, Ran
    Si, Qingyi
    Fu, Peng
    Lin, Zheng
    Wang, Weiping
    Shi, Gang
    2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019), 2019, : 353 - 360
  • [46] Multi-channel effect of condensation flow in a micro triple-channel condenser
    Zhang, Wei
    Xu, Jinliang
    Liu, Guohua
    INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2008, 34 (12) : 1175 - 1184
  • [47] Neural Multi-Channel and Multi-Microphone Acoustic Echo Cancellation
    Zhang, Chenggang
    Liu, Jinjiang
    Li, Hao
    Zhang, Xueliang
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 31 : 2181 - 2192
  • [48] A 4.86 μW/Channel Fully Differential Multi-Channel Neural Recording System
    Lee, Taeju
    Cha, Ji-Hyoung
    Han, Su-Hyun
    Kim, Seong-Jin
    Je, Minkyu
    2018 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), 2018, : 68 - 69
  • [49] Sleep Stages Classification Using Neural Networks with Multi-channel Neural Data
    Ge, Zhenhao
    Sun, Yufang
    BRAIN INFORMATICS AND HEALTH (BIH 2015), 2015, 9250 : 306 - 316
  • [50] A 220nW Neural Amplifier for Multi-Channel Neural Recording Systems
    Kim, Jungsuk
    Chae, Moo Sung
    Liu, Wentai
    ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5, 2009, : 1257 - 1260