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q-bio.NC2026
Training-Driven Representational Geometry Modularization Predicts Brain Alignment in Language Models
Yixuan Liu, Zhiyuan Ma, Likai Tang +5
How large language models (LLMs) align with the neural representation and computation of human language is a central question in cognitive science. Using representational geometry…
q-bio.NC2025
Capturing Aperiodic Temporal Dynamics of EEG Signals through Stochastic Fluctuation Modeling
Yuhao Sun, Zhiyuan Ma, Xinke Shen +3
Electrophysiological brain signals, such as electroencephalography (EEG), exhibit both periodic and aperiodic components, with the latter often modeled as 1/f noise and considered…