Multichannel parallel processing of neural signals in memristor arrays.
Multichannel parallel processing of neural signals in memristor arrays.
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DOI：
10.1126/sciadv.abc4797
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发表时间：
2020-10
期刊：
影响因子：
13.6
通讯作者：
Wu H
中科院分区：
文献类型：
--
作者：
Liu Z;Tang J;Gao B;Li X;Yao P;Lin Y;Liu D;Hong B;Qian H;Wu H
忆阻器阵列为多通道神经信号的并行处理提供了可扩展且节能的平台。具有大量记录通道的完全植入式神经接口为运动或言语功能丧失的患者带来了福音。随着记录通道数量的迅速增加，用于神经信号处理的传统互补金属氧化物半导体（CMOS）芯片在并行可扩展性、计算成本和功耗方面面临着严峻的挑战。在这项工作中，我们提出了一种以前未探索过的方法，利用忆阻器阵列中多通道神经信号的丰富动态特性进行并行处理。神经信号波形的关键信息在忆阻器电导调制中被提取和编码。开发了信号分段方案以适应设备变化。为了验证处理结果的保真度，进一步证明了癫痫预测，与 CMOS 同类产品相比，其准确度超过 95%，并且功率效率提高了 1000 倍以上。这项工作表明忆阻器阵列可能成为未来可植入神经接口的有前途的多通道信号处理模块。
Memristor array provides a scalable and power-efficient platform for parallel processing of multichannel neural signals. Fully implantable neural interfaces with massive recording channels bring the gospel to patients with motor or speech function loss. As the number of recording channels rapidly increases, conventional complementary metal-oxide semiconductor (CMOS) chips for neural signal processing face severe challenges on parallelism scalability, computational cost, and power consumption. In this work, we propose a previously unexplored approach for parallel processing of multichannel neural signals in memristor arrays, taking advantage of their rich dynamic characteristics. The critical information of neural signal waveform is extracted and encoded in the memristor conductance modulation. A signal segmentation scheme is developed to adapt to device variations. To verify the fidelity of the processed results, seizure prediction is further demonstrated, with high accuracy above 95% and also more than 1000× improvement in power efficiency compared with CMOS counterparts. This work suggests that memristor arrays could be a promising multichannel signal processing module for future implantable neural interfaces.
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影响因子：
16.2
作者：
Kajikawa Y;Schroeder CE
通讯作者：
Schroeder CE
细胞外田地和电流的起源-EEG，ECOG，LFP和尖峰。
DOI：
10.1038/nrn3241
发表时间：
2012-05-18
期刊：
Nature reviews. Neuroscience
影响因子：
--
作者：
Buzsáki G;Anastassiou CA;Koch C
通讯作者：
Koch C
影响因子：
5.4
作者：
Chen, Wei-Ming;Chiueh, Herming;Wu, Chung-Yu
通讯作者：
Wu, Chung-Yu
影响因子：
48
作者：
Schwarz, David A.;Lebedev, Mikhail A.;Hanson, Timothy L.;Dimitrov, Dragan F.;Lehew, Gary;Meloy, Jim;Rajangam, Sankaranarayani;Subramanian, Vivek;Ifft, Peter J.;Li, Zheng;Ramakrishnan, Arjun;Tate, Andrew;Zhuang, Katie Z.;Nicolelis, Miguel A. L.
通讯作者：
Nicolelis, Miguel A. L.
影响因子：
64.8
作者：
Borghetti, Julien;Snider, Gregory S.;Williams, R. Stanley
通讯作者：
Williams, R. Stanley