Artificial intelligence-driven neural interfaces

Xinyu Sun , Shuangjie Liu

Journal of Intelligent Medicine ›› 2025, Vol. 2 ›› Issue (2) : 78 -80.

PDF
Journal of Intelligent Medicine ›› 2025, Vol. 2 ›› Issue (2) :78 -80. DOI: 10.1002/jim4.70008
NEWS AND VIEWS
Artificial intelligence-driven neural interfaces
Author information +
History +
PDF

Abstract

As brain-computer interface technology advances toward practical application and widespread use, neural electrodes, the core medium of interaction, are undergoing a profound technological revolution. While traditional metal microelectrodes have achieved significant breakthroughs in neural recording and stimulation, their high rigidity, poor biocompatibility, and severe long-term signal degradation make them unsuitable for stable interaction in deep brain regions, high-throughput applications, and long-term use. Fortunately, current research is leveraging a multidisciplinary approach combining flexible electronics, new materials engineering, and artificial intelligence to develop a smarter, more efficient, and gentler neural interface system.

Keywords

artificial intelligence / electrode / neural interface

Cite this article

Download citation ▾
Xinyu Sun, Shuangjie Liu. Artificial intelligence-driven neural interfaces. Journal of Intelligent Medicine, 2025, 2(2): 78-80 DOI:10.1002/jim4.70008

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Kim HW, Kim J, Kim JY, et al. Transparent, metal-free PEDOT:PSS neural interfaces for simultaneous recording of low-noise electrophysiology and artifact-free two-photon imaging. Nat Commun. 2025;16(1):4032. https://doi.org/10.1038/s41467-025-59303-2

[2]

Oldroyd P, Velasco-Bosom S, Bidinger SL, Hasan T, Boys AJ, Malliaras GG. Fabrication of thin-film electrodes and organic electrochemical transistors for neural implants. Nat Protoc. 2025;20(8):2100-2124. https://doi.org/10.1038/s41596-024-01116-6

[3]

Timko BP. Neural implants without brain surgery. Science. 2023;381(6655):268-269. https://doi.org/10.1126/science.adi9330

[4]

Wang X, Wu S, Yang H, et al. Intravascular delivery of an ultraflexible neural electrode array for recordings of cortical spiking activity. Nat Commun. 2024;15(1):9442. https://doi.org/10.1038/s41467-024-53720-5

[5]

Liu S, Wang Y, Zhao Y, et al. A nanozyme-based electrode for high-performance neural recording. Adv. Mater.2024;36(6):2304297. https://doi.org/10.1002/adma.202304297

[6]

Sheng H, Liu R, Li Q, et al. Brain implantation of soft bioelectronics via embryonic development. Nature. 2025;642(8069):954-964. https://doi.org/10.1038/s41586-025-09106-8

[7]

Lee JM, Pyo YW, Kim YJ, et al. The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity. Nat Commun. 2023;14(1):7088. https://doi.org/10.1038/s41467-023-42860-9

[8]

Trautmann EM, Hesse JK, Stine GM, et al. Large-scale high-density brain-wide neural recording in nonhuman Primates. Nat Neurosci. 2025;28(7):1562-1575. https://doi.org/10.1038/s41593-025-01976-5

[9]

Zhuang Q, Yao K, Wu M, et al. Wafer-patterned, permeable, and stretchable liquid metal microelectrodes for implantable bioelectronics with chronic biocompatibility. Sci Adv. 2023;9(22):eadg8602. https://doi.org/10.1126/sciadv.adg8602

[10]

Ferrero JJ, Hassan AR, Yu Z, et al. Closed-loop electrical stimulation prevents focal epilepsy progression and long-term memory impairment. Nat Neurosci. 2025;28(8):1753-1762. https://doi.org/10.1038/s41593-025-01988-1

RIGHTS & PERMISSIONS

2025 The Author(s). Journal of Intelligent Medicine published by John Wiley & Sons Australia, Ltd on behalf of Tianjin University.

PDF

2

Accesses

0

Citation

Detail

Sections
Recommended

/