A memristor-based adaptive neuromorphic decoder for brain–computer interfaces

IF 33.7 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Nature Electronics Pub Date : 2025-02-17 DOI:10.1038/s41928-025-01340-2

Zhengwu Liu, Jie Mei, Jianshi Tang, Minpeng Xu, Bin Gao, Kun Wang, Sanchuang Ding, Qi Liu, Qi Qin, Weize Chen, Yue Xi, Yijun Li, Peng Yao, Han Zhao, Ngai Wong, He Qian, Bo Hong, Tzyy-Ping Jung, Dong Ming, Huaqiang Wu

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Abstract

Practical brain–computer interfaces should be able to decipher brain signals and dynamically adapt to brain fluctuations. This, however, requires a decoder capable of flexible updates with energy-efficient decoding capabilities. Here we report a neuromorphic and adaptive decoder for brain–computer interfaces, which is based on a 128k-cell memristor chip. Our approach features a hardware-efficient one-step memristor decoding strategy that allows the interface to achieve software-equivalent decoding performance. Furthermore, we show that the system can be used for the real-time control of a drone in four degrees of freedom. We also develop an interactive update framework that allows the memristor decoder and the changing brain signals to adapt to each other. We illustrate the capabilities of this co-evolution of the brain and memristor decoder over an extended interaction task involving ten participants, which leads to around 20% higher accuracy than an interface without co-evolution.

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基于忆阻器的脑机接口自适应神经形态解码器

实用的脑机接口应该能够破译大脑信号并动态适应大脑波动。然而，这需要一个能够灵活更新且具有节能解码能力的解码器。在这里，我们报告了一种基于128k细胞记忆电阻芯片的脑机接口神经形态和自适应解码器。我们的方法具有硬件高效的一步记忆电阻解码策略，允许接口实现软件等效的解码性能。此外，我们还证明了该系统可以用于四自由度无人机的实时控制。我们还开发了一个交互式更新框架，允许记忆电阻解码器和不断变化的大脑信号相互适应。我们在涉及10个参与者的扩展交互任务中说明了大脑和忆阻器解码器的这种共同进化的能力，这比没有共同进化的接口的准确率高出约20%。

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来源期刊

Nature Electronics Engineering-Electrical and Electronic Engineering

CiteScore

47.50

自引率

2.30%

发文量

159

期刊介绍： Nature Electronics is a comprehensive journal that publishes both fundamental and applied research in the field of electronics. It encompasses a wide range of topics, including the study of new phenomena and devices, the design and construction of electronic circuits, and the practical applications of electronics. In addition, the journal explores the commercial and industrial aspects of electronics research. The primary focus of Nature Electronics is on the development of technology and its potential impact on society. The journal incorporates the contributions of scientists, engineers, and industry professionals, offering a platform for their research findings. Moreover, Nature Electronics provides insightful commentary, thorough reviews, and analysis of the key issues that shape the field, as well as the technologies that are reshaping society. Like all journals within the prestigious Nature brand, Nature Electronics upholds the highest standards of quality. It maintains a dedicated team of professional editors and follows a fair and rigorous peer-review process. The journal also ensures impeccable copy-editing and production, enabling swift publication. Additionally, Nature Electronics prides itself on its editorial independence, ensuring unbiased and impartial reporting. In summary, Nature Electronics is a leading journal that publishes cutting-edge research in electronics. With its multidisciplinary approach and commitment to excellence, the journal serves as a valuable resource for scientists, engineers, and industry professionals seeking to stay at the forefront of advancements in the field.