ArticleNeurobiology of language (Cambridge, Mass.)2024
Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network.
Article in Neurobiology of language (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Linguistics and human brain: a perspective of computational neuroscience.Cognitive neurodynamics · 2026Review
- Spurious alignment between large language models and brains can emerge from non-robust methods and overlooked confounds.Nature communications · 2026Article
- Aligning brains into a shared space improves their alignment with large language models.Nature computational science · 2026Article
- Neural Coding of Multiple Linguistic Components During Reading Comprehension Across Development.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Left-Right Asymmetry in Predicting Brain Activity From LLMs' Representations Emerges With Their Formal Linguistic Competence.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 Languages.bioRxiv : the preprint server for biology · 2025Article
- Universality of representation in biological and artificial neural networks.bioRxiv : the preprint server for biology · 2024Article
- Can ChatGPT help researchers understand how the human brain handles language?Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions.Advances in neural information processing systems · 2024Article
- Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax, and Context.Neurobiology of language (Cambridge, Mass.) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the language network. To understand what aspects of linguistic stimuli contribute to ANN-to-brain similarity, we used an fMRI data set of responses to
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.