3 papers
stat.ME2026
Topological inference on brain networks with application to lesion symptom mapping
Yuan Wang, Jian Yin, Nicholas Riccardi +3
Persistent homology (PH) characterizes the shape of brain networks through persistence features. Group comparison of persistence features from brain networks can be challenging as…
cs.LG2026
Stroke Lesions as a Rosetta Stone for Language Model Interpretability
Julius Fridriksson, Roger D. Newman-Norlund, Saeed Ahmadi +10
Large language models (LLMs) have achieved remarkable capabilities, yet methods to verify which model components are truly necessary for language function remain limited. Current i…
q-bio.NC2026
Multifaceted neural representation of words in naturalistic language
Xuan Yang, Chuanji Gao, Cheng Xiao +2
Understanding how the brain represents the multifaceted properties of words in context is essential for explaining the neural architecture of human language. Here, we combine large…