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
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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

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。
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