神经小模组 2.0:通过多载波正交反向散射同时进行多信道传输的 128 信道 2mm×2mm 无电池神经小模组。

Changgui Yang, Zhihuan Zhang, Lei Zhang, Yunshan Zhang, Zhuhao Li, Yuxuan Luo, Gang Pan, Bo Zhao
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引用次数: 0

摘要

无线神经记录系统的微型化实现了微创手术,减轻了植入式脑机接口(BCI)应用的排斥反应。要研究数十亿个神经元的行为和相互联系,同时进行大通道记录的能力至关重要。近年来,基于无线功率传输(WPT)和反向散射通信的无电池技术通过消除电池和共享天线缩小了神经记录植入物的尺寸。然而,现有的无电池芯片在信号采集电路中实现了多通道合并,导致芯片面积大、信号衰减、通道数不足或带宽低等问题。在这项工作中,我们展示了一种 2 毫米×2 毫米的无电池神经芯片,它在无线部分合并了 128 个信道。该神经芯片采用 65nm CMOS 工艺制造,测量结果表明1) 拟议的多载波正交反向散射技术实现了 20.16Mb/s 的高数据传输率和 0.8pJ/bit 的能效。2) 提出了一种自校准直接数字转换器 (SC-DDC),可在 2mm×2mm 的芯片中容纳 128 个信道,然后通过全数字实现,实现了 0.02mm2 的面积和每个信道 9.87μW 的功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural Dielet 2.0: A 128-Channel 2mm×2mm Battery-Free Neural Dielet Merging Simultaneous Multi-Channel Transmission through Multi-Carrier Orthogonal Backscatter.

Miniaturization of wireless neural-recording systems enables minimally-invasive surgery and alleviates the rejection reactions for implanted brain-computer interface (BCI) applications. Simultaneous massive-channel recording capability is essential to investigate the behaviors and inter-connections in billions of neurons. In recent years, battery-free techniques based on wireless power transfer (WPT) and backscatter communication have reduced the sizes of neural-recording implants by battery eliminating and antenna sharing. However, the existing battery-free chips realize the multi-channel merging in the signal-acquisition circuits, which leads to large chip area, signal attenuation, insufficient channel number or low bandwidth, etc. In this work, we demonstrate a 2mm×2mm battery-free neural dielet, which merges 128 channels in the wireless part. The neural dielet is fabricated with 65nm CMOS process, and measured results show that: 1) The proposed multi-carrier orthogonal backscatter technique achieves a high data rate of 20.16Mb/s and an energy efficiency of 0.8pJ/bit. 2) A self-calibrated direct digital converter (SC-DDC) is proposed to fit the 128 channels in the 2mm×2mm die, and then the all-digital implementation achieves 0.02mm2 area and 9.87μW power per channel.

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