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DeepSeek or ChatGPT: Can brain‐computer interfaces/brain‐inspired computing achieve leapfrog development with large AI models?

Year: 2025
Type: article
Abstract: Large language models, including DeepSeek and ChatGPT, have the potential to significantly advance brain-computer interfaces and brain-inspired computing by enhancing the accuracy of brain signal decoding and optimizing user interaction. In brain-computer interfaces, these models facilitate more precise and responsive communication, while in brain-inspired computing, they enable realistic simulation of neural networks and improved hardware energy efficiency. However, substantial challenges remain, particularly in healthcare applications and other broader fields.
Source: Brain‐X
DOI: 10.1002/brx2.70021
Authors: Long Bai, Shugeng Chen, Peng Wang, He Chen, Jiaqing Yan, Xiaojian Zhu, Enming Song, Bobo Tian, Jiacan Su, Xiaoli Li
Institutions: Shanghai University, XinHua Hospital, Fudan University, Huashan Hospital, Vrije Universiteit Amsterdam, South China University of Technology, North China University of Technology, Chinese Academy of Sciences, Ningbo Institute of Industrial Technology, East China Normal University
Language: English
Open Access status: diamond
OpenAlex ID: W4408462145
FWCI: 2.198
Cites: 5
Cited by: 4
Related to: 10