跨语言验证发现大脑语言网络与LLM的对齐主要受训练数据驱动，而非语言类型学差异。
arXiv:2605.23032v1 Announce Type: cross Abstract: Brain-LLM alignment is well established in English, yet the brain's language network is neuroanatomi…
从脑部fMRI信号解码情感描述，AI与神经科学跨界新突破。
arXiv:2605.16739v1 Announce Type: new Abstract: Decoding visual experience from brain activity has advanced substantially, but cur- rent brain-to-text…
用β-TCVAE模型从脑功能磁共振数据中分离非线性独立源，揭示大脑网络隐藏信号。
arXiv:2605.16708v1 Announce Type: new Abstract: Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in…
首个统一多模态脑基础模型，横跨fMRI、EEG、MEG，打破单一模态局限。
arXiv:2602.23410v3 Announce Type: replace-cross Abstract: Brain foundation models have achieved remarkable advances across a wide range of neuroscienc…