This page shows the most relevant public items for q-bio.NC, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 11, 2026 • arXiv • Yixuan Liu, Zhiyuan Ma, Likai Tang, Runmin Gan, Xinche Zhang, Jinhao Li, Chao Xie, Sen Song
The degree to which Large Language Models (LLMs) align with human brain activity during language processing remains a central question in both AI and neuroscience. We investigate the impact of trai...
Paper • Feb 12, 2026 • arXiv • Dulhan Jayalath, Oiwi Parker Jones
Decoding natural language from non-invasive brain recordings like Magnetoencephalography (MEG) remains a significant challenge due to the low signal-to-noise ratio and the scarcity of paired brain-...
Paper • Feb 11, 2026 • arXiv • Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha
Recovering the true causal connectivity of the human brain from indirect observations like EEG and fMRI is a fundamental but ill-posed problem due to the presence of unobserved confounders and the ...
Paper • Feb 12, 2026 • arXiv • Ankita Paul, Wenyi Wang
Glioblastoma (GBM) is characterized by high intra-tumoral heterogeneity, which poses a significant challenge for diagnosis and treatment planning. We propose a brain-inspired Topological Neural Net...
Paper • Feb 10, 2026 • arXiv • Fudong Zhang, Bo Chai, Yujie Wu, Wai Ting Siok, Nizhuan Wang
This paper provides a comprehensive perspective on the intersection of linguistics and computational neuroscience, exploring how modern language models and neural recording technologies can bridge ...
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