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Design for good matching in multichannel low-noise amplifier for recording neuronal signals in modern neuroscience experiments

机译:在现代神经科学实验中记录神经元信号的多通道低噪声放大器中实现良好匹配的设计

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The paper reports on the design of a prototype 16-channel ASIC for readout of signals from live neuronal systems. Single channel comprises a low-noise amplifier and a low-frequency pass-band filter. The amplifier design optimised with respect to noise and power consumption is discussed. The design of a continuous-time high-pass filter with lower cut-off frequency as low as 20 Hz, which is suitable for realisation in a CMOS process, is presented. Special attention is paid to uniformity of analogue parameters in the multichannel IC. Channel matching is evaluated by Monte Carlo simulation. The design has been fabricated in a 0.7 μm CMOS process and measurements of basic parameters and characteristics have been performed for the prototypes. Good agreement between the simulation and measurements has been achieved for single channel parameters as well as for channel matching. The obtained results on channel matching are discussed with respect to design reliability and production yield.
机译:该论文报告了用于从活神经元系统读取信号的原型16通道ASIC的设计。单通道包括一个低噪声放大器和一个低频通带滤波器。讨论了针对噪声和功耗优化的放大器设计。提出了一种低截止频率低至20 Hz的连续时间高通滤波器的设计,该滤波器适合在CMOS工艺中实现。要特别注意多通道IC中模拟参数的一致性。通道匹配通过蒙特卡洛模拟进行评估。该设计采用0.7μmCMOS工艺制造,并已对原型进行了基本参数和特性的测量。对于单通道参数以及通道匹配,已经在仿真和测量之间取得了良好的一致性。就设计可靠性和生产良率讨论了在通道匹配方面获得的结果。

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