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用于具有尖峰和局部场电位分离功能的多通道神经元记录系统的模拟前端。

Analog frontend for multichannel neuronal recording system with spike and LFP separation.

作者信息

Perelman Yevgeny, Ginosar Ran

机构信息

VLSI Systems Research Center, Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel.

出版信息

J Neurosci Methods. 2006 May 15;153(1):21-6. doi: 10.1016/j.jneumeth.2005.09.017. Epub 2005 Dec 6.

DOI:10.1016/j.jneumeth.2005.09.017
PMID:16337276
Abstract

A 0.35microm CMOS integrated circuit for multi-channel neuronal recording with twelve true-differential channels, band separation and digital offset calibration is presented. The measured signal is separated into a low-frequency local field potential and high-frequency spike data. Digitally programmable gains of up to 60 and 80 dB for the local field potential and spike bands are provided. DC offsets are compensated on both bands by means of digitally programmable DACs. Spike band is limited by a second order low-pass filter with digitally programmable cutoff frequency. The IC has been fabricated and tested. 3microV input referred noise on the spike data band was measured.

摘要

本文介绍了一款0.35微米的互补金属氧化物半导体(CMOS)集成电路,该电路具有十二个真差分通道,用于多通道神经元记录,具备频段分离和数字失调校准功能。测量到的信号被分离为低频局部场电位和高频尖峰数据。局部场电位和尖峰频段分别提供高达60分贝和80分贝的数字可编程增益。通过数字可编程数模转换器(DAC)对两个频段的直流失调进行补偿。尖峰频段由一个截止频率数字可编程的二阶低通滤波器限制。该集成电路已制造并测试。测量到尖峰数据频段上的输入参考噪声为3微伏。

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A low-noise, modular, and versatile analog front-end intended for processing in vitro neuronal signals detected by microelectrode arrays.一种低噪声、模块化且通用的模拟前端,旨在处理由微电极阵列检测到的体外神经元信号。
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