Abstract

This paper presents a fully integrated 64-channel neural recording system for local field potential and action potential. It mainly includes 64 low-noise amplifiers, 64 programmable amplifiers and filters, 9 switched-capacitor (SC) amplifiers, and a 10-bit successive approximation register analogue-to-digital converter (SAR ADC). Two innovations have been proposed. First, a two-stage amplifier with high-gain, rail-to-rail input and output, and dynamic current enhancement improves the speed of SC amplifiers. The second is a clock logic that can be used to align the switching clock of 64 channels with the sampling clock of ADC. Implemented in an SMIC 0.18 μm Complementary Metal Oxide Semiconductor (CMOS) process, the 64-channel system chip has a die area of 4 × 4 mm2 and is packaged in a QFN−88 of 10 × 10 mm2. Supplied by 1.8 V, the total power is about 8.28 mW. For each channel, rail-to-rail electrode DC offset can be rejected, the referred-to-input noise within 1 Hz–10 kHz is about 5.5 μVrms, the common-mode rejection ratio at 50 Hz is about 69 dB, and the output total harmonic distortion is 0.53%. Measurement results also show that multiple neural signals are able to be simultaneously recorded.

Highlights

  • IntroductionOver the past fifteen years, working towards the in-depth understanding of human neural networking, scientists and engineers have greatly developed integrated neural interface systems [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]

  • When the chip worked with an input clock of 16 MHZ, the analogue part consumed

  • From system architecture to circuit design, this paper introduced a fully integrated consumption of the digital control circuit and recording the biasing circuit.which can be used to record multiple local field potential (LFP) and action potential (AP)

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Summary

Introduction

Over the past fifteen years, working towards the in-depth understanding of human neural networking, scientists and engineers have greatly developed integrated neural interface systems [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]. From central [19] to peripheral [28] nervous system, hundred billions of neurons communicate with each other through electrical firing events and chemical neurotransmitters [29], and the neural interface system helps to track and record them, thereby gradually completing the neural image of the inside of the brain. The systems have featured more functions, such as electrical, chemical, or optical modulation [29], impedance measurement, wireless power transfer, and data communication [16]. The neural recording function is still one of the most critical parts, and the increasing number of simultaneous recording channels brings a trade-off between noise, power, and area

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