Electrical modeling of the cell-electrode interface for recording neural activity from high-density microelectrode arrays

被引:51
|
作者
Joye, Neil [1 ]
Schmid, Alexandre [1 ]
Leblebici, Yusuf [1 ]
机构
[1] Ecole Polytech Fed Lausanne, STI IEL LSM, CH-1015 Lausanne, Switzerland
关键词
Cell-electrode electrical model; Extracellular signal recording; High-density microelectrode array; Subcellular resolution; Three-dimensional tip electrode; PLATINUM-ELECTRODES; SIGNAL TRANSFER; IN-VITRO; STIMULATION; NEURONS; SYSTEM; RESISTANCE;
D O I
10.1016/j.neucom.2009.09.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Accurate electrical models are needed to support the design of modern microelectrode arrays. The point-contact model is presented thoroughly, and an area-contact model is analytically derived in order to model the electrical characteristics of the cell-electrode interface at subcellular resolution. An optimum electrode diameter for recording the electrical activity of neurons is analytically determined at 8 mu m, with a cell diameter of 10 mu m and a typical load capacitance of 10 pF. Finally, three-dimensional tip electrodes are characterized using the area-contact model. An improvement of the electrical coupling up to 20 dB is observed for small electrodes, in simulation. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:250 / 259
页数:10
相关论文
共 50 条
  • [31] Breast Cancer Detection Using High-Density Flexible Electrode Arrays and Electrical Impedance Tomography
    Campisi, Matthew S.
    Barbre, Curtis
    Chola, Aditya
    Cunningham, Gisselle
    Woods, Virginia
    Viventi, Jonathan
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 1131 - 1134
  • [32] Electrical properties of a light-addressable microelectrode chip with high electrode density for extracellular stimulation and recording of excitable cells
    Bucher, V
    Brunner, B
    Leibrock, C
    Schubert, M
    Nisch, W
    BIOSENSORS & BIOELECTRONICS, 2001, 16 (03): : 205 - 210
  • [33] Brain-computer interface using high-density intracortical microelectrode arrays for robotic limb control and reliable communication
    Jarosiewicz, B.
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2017, 27 : S556 - S557
  • [34] High-Density 3D Pyramid-Shaped Microelectrode Arrays for Brain-Machine Interface Applications
    Motlagh, Bahareh Ghane
    Sawan, Mohamad
    2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), 2014, : 364 - 367
  • [35] Modeling large-scale neural network culture interface on very-high density multi-electrode arrays
    André Garenne
    Luca Berdondini
    Milena Koudelka
    Sergio Martinoia
    Frédéric Nagy
    Gwendal Le Masson
    BMC Neuroscience, 8 (Suppl 2)
  • [36] CMOS-Based High-Density Silicon Microprobe Arrays for Electronic Depth Control in Intracortical Neural Recording
    Seidl, Karsten
    Herwik, Stanislav
    Torfs, Tom
    Neves, Herc P.
    Paul, Oliver
    Ruther, Patrick
    JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, 2011, 20 (06) : 1439 - 1448
  • [37] Simultaneous recording of high-density electrocorticogram and intracortical activity using MEMS-fabricated electrode array
    Toda, Haruo
    Sawahata, Hirohito
    Suzuki, Takafumi
    Majima, Kei
    Kamitani, Yukiyasu
    Hasegawa, Isao
    JOURNAL OF PHYSIOLOGICAL SCIENCES, 2010, 60 : S204 - S204
  • [38] Electrophysiological Phenotype Characterization of Human iPSC-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays
    Ronchi, Silvia
    Buccino, Alessio Paolo
    Prack, Gustavo
    Kumar, Sreedhar Saseendran
    Schroeter, Manuel
    Fiscella, Michele
    Hierlemann, Andreas
    ADVANCED BIOLOGY, 2021, 5 (03):
  • [39] Microfluidic cell engineering on high-density microelectrode arrays for assessing structure-function relationships in living neuronal networks
    Sato, Yuya
    Yamamoto, Hideaki
    Kato, Hideyuki
    Tanii, Takashi
    Sato, Shigeo
    Hirano-Iwata, Ayumi
    FRONTIERS IN NEUROSCIENCE, 2023, 16
  • [40] High-Density Electrical Recording and Impedance Imaging With a Multi-Modal CMOS Multi-Electrode Array Chip
    Miccoli, Beatrice
    Lopez, Carolina Mora
    Goikoetxea, Erkuden
    Putzeys, Jan
    Sekeri, Makrina
    Krylychkina, Olga
    Chang, Shuo-Wen
    Firrincieli, Andrea
    Andrei, Alexandru
    Reumers, Veerle
    Braeken, Dries
    FRONTIERS IN NEUROSCIENCE, 2019, 13