Cross-lingual robustness of LLM-brain alignment and its computational roots

ArXi:2605.21049v1 Announce Type: new Large language models (LLMs) reliably predict neural activity during language comprehension and transformer depth has been interpreted as mirroring hierarchical cortical organization. However, it remains unclear whether such alignment extends to subcortical regions, overlaps spatially across languages, and what the computational roots of such alignment are.