AINeutralarXiv – CS AI · 6h ago6/10
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A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity
Researchers demonstrate that Large Language Models and human brain activity share a common valence (emotional) axis, with LLMs trained on emotion-evocative sentences producing representations that align with EEG patterns across 123 subjects. However, directly supervising neural networks to match this axis paradoxically degrades performance, leading to a discovery called the 'saturation regularity' that suggests optimal brain decoding requires ensemble methods leveraging residual diversity rather than additional constraint-based training.