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

Brain-X Pub Date : 2025-03-14 DOI:10.1002/brx2.70021
Long Bai, Shugeng Chen, Peng Wang, He Chen, Jiaqing Yan, Xiaojian Zhu, Enming Song, Bobo Tian, Jiacan Su, Xiaoli Li
{"title":"DeepSeek or ChatGPT: Can brain-computer interfaces/brain-inspired computing achieve leapfrog development with large AI models?","authors":"Long Bai,&nbsp;Shugeng Chen,&nbsp;Peng Wang,&nbsp;He Chen,&nbsp;Jiaqing Yan,&nbsp;Xiaojian Zhu,&nbsp;Enming Song,&nbsp;Bobo Tian,&nbsp;Jiacan Su,&nbsp;Xiaoli Li","doi":"10.1002/brx2.70021","DOIUrl":null,"url":null,"abstract":"<p>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.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":94303,"journal":{"name":"Brain-X","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brx2.70021","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain-X","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/brx2.70021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DeepSeek或ChatGPT:脑机接口/脑启发计算能否通过大型人工智能模型实现跨越式发展?
包括DeepSeek和ChatGPT在内的大型语言模型,通过提高大脑信号解码的准确性和优化用户交互,具有显著推进脑机接口和脑启发计算的潜力。在脑机接口中,这些模型促进了更精确和响应性的通信,而在脑启发计算中,它们使神经网络的逼真模拟和硬件能源效率的提高成为可能。然而,实质性的挑战仍然存在,特别是在医疗保健应用和其他更广泛的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Issue Information The clinical applications of brain–computer interfaces Association between early serum uric acid levels and diffusion tensor imaging analysis along the perivascular space with cognitive function Heterogeneity in brain morphology and psychological, cognitive, and contextual factors of gender identity Robust carbon-doped black phosphorus multi-perception memristor for a hazardous information detection system
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1