An AC-Coupled 1st-order Δ-ΔΣ Readout IC for Area-Efficient Neural Signal Acquisition.
An AC-Coupled 1st-order Δ-ΔΣ Readout IC for Area-Efficient Neural Signal Acquisition.
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用于区域高效神经信号采集的交流耦合一阶 Ω-Ω 读出 IC。
DOI：
10.1109/jssc.2023.3234612
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发表时间：
2023
影响因子：
5.4
通讯作者：
Lopez,CarolinaMora
中科院分区：
文献类型：
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作者：
Yang,Xiaolin;Ballini,Marco;Sawigun,Chutham;Hsu,Wen-Yang;Weijers,Jan-Willem;Putzeys,Jan;Lopez,CarolinaMora
目前对高通道数神经记录接口的需求要求更多的面积和功率效率的读出架构，而不会影响其他电气性能。在这篇文章中，我们提出了一个小型的128通道神经记录集成电路（NRIC）的局部场电位（LFPs）和动作电位（AP）的同时采集，它可以实现一个很好的折衷面积，功率，噪声，输入范围和电极直流偏移（EDO）的取消。提出了一种交流耦合的一阶数字密集型架构，以实现这种折衷，并利用高度扩展的技术节点的优势。一个原型NRIC，包括128个通道，一个新提出的面积有效的批量稳压基准电压源，偏置电路，和数字控制，已被制造在22纳米全耗尽绝缘体上硅（FDSOI）CMOS和充分的特点。我们提出的架构实现了每通道的总面积为0.005 mm2，每通道的总功率为12.57，以及输入参考噪声为7.7 ± 0.4在AP波段和11.9 ± 1.1在LFP波段。一个非常好的通道到通道的均匀性证明了我们的测量。该芯片已在体内验证，证明其能够成功记录全波段神经信号。
The current demand for high-channel-count neural-recording interfaces calls for more area- and power-efficient readout architectures that do not compromise other electrical performances. In this article, we present a miniature 128-channel neural recording integrated circuit (NRIC) for the simultaneous acquisition of local field potentials (LFPs) and action potentials (APs), which can achieve a very good compromise between area, power, noise, input range, and electrode dc offset (EDO) cancellation. An ac-coupled 1st-order digitally-intensive-architecture is proposed to achieve this compromise and to leverage the advantages of a highly-scaled technology node. A prototype NRIC, including 128 channels, a newly-proposed area-efficient bulk-regulated voltage reference, biasing circuits, and a digital control, has been fabricated in 22-nm fully depleted silicon on insulator (FDSOI) CMOS and fully characterized. Our proposed architecture achieves a total area per channel of 0.005 mm2, a total power per channel of 12.57, and an input-referred noise of 7.7 ± 0.4in the AP band and 11.9 ± 1.1in the LFP band. A very good channel-to-channel uniformity is demonstrated by our measurements. The chip has been validated in vivo, demonstrating its capability to successfully record full-band neural signals.