Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models

arXiv:2404.19364v1 Announce Type: new
Abstract: Neural language models, particularly large-scale ones, have been consistently proven to be most effective in predicting brain neural activity across a range of studies. However, previous research overlooked the comparison of these models with psychologically plausible ones. Moreover, evaluations were reliant on limited, single-modality, and English cognitive datasets. To address these questions, we conducted an analysis comparing encoding performance of various neural language models and psychologically plausible models. Our study utilized extensive multi-modal cognitive datasets, …

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