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An Analog Front End for Recording Neuronal Activity in Freely Behaving Small Animals
作者姓名:WANG  Min  ZHANG  Xiao  ZHANG  Chun-feng  CAO  Mao-yong  LI  Cai-fang  KONG  Hui-min  QIN  Veng-ju  YAN  Yu-qin
作者单位:[1]College of Information and Electrical Engineering, Shandong University of Science and Technology, Shandong 266510, China [2]School Hospital, Shandong University of Science and Technology, Shandong 266510, China
摘    要:Extracting characteristic brain signals and simultaneous recording animals behaving could help us to understand the complex behavior of neuronal ensembles. Here, a system was established to record local field potentials (LFP) and extracellular signal or multiple-unit discharge and behavior synchronously by utilizing electrophysiology and integrated circuit technique. It comprised microelectrodes and micro-driver assembly, analog front end (AFE) , while a computer ( Pentium III ) was used as the platform for the graphic user interface, which was developed using the LabVIEW programming language. It was designed as a part of ongoing research to develop a portable wireless neural signal recording system, We believe that this information will be useful for the research of brain-computer interface.

关 键 词:神经信号记录  脑信号  神经活性  人机界面
文章编号:1004-0552(2007)04-0155-08
收稿时间:2007-07-28
修稿时间:2007-11-26

An Analog Front End for Recording Neuronal Activity in Freely Behaving Small Animals
WANG Min ZHANG Xiao ZHANG Chun-feng CAO Mao-yong LI Cai-fang KONG Hui-min QIN Veng-ju YAN Yu-qin.An Analog Front End for Recording Neuronal Activity in Freely Behaving Small Animals[J].Chinese Journal of Biomedical Engineering,2007,16(4):155-162,169.
Authors:WANG Min  ZHANG Xiao  ZHANG Chun-feng  CAO Mao-yong  LI Cai-fang  KONG Hui-min  QIN Feng-ju  YAN Yu-qin
Abstract:Abstract.Extracting characteristic brain signals and simultaneous recording animals behaving could help us to understand the complex behavior of neuronal ensembles. Here,a system was established to record local field potentials (LFP) and extracellular signal or multiple-unit discharge and behavior synchronously by utilizing electrophysiology and integrated circuit technique. It comprised microelectrodes and micro-driver assembly, analog front end ( AFE), while a computer ( Pentium Ⅲ ) was used as the platform for the graphic user interface, which was developed using the LabVIEW programming language. It was designed as a part of ongoing research to develop a portable wireless neural signal recording system. We believe that this information will be useful for the research of brain-computer interface.
Keywords:electrode  analog front end  local field potential  neural signal recording  brain-computer interface (BCI)
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