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        <title>Studying Language Processing in the Human Brain with Speech and Language Models</title>
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        <namePart type="given">Zhang</namePart>
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            <title>Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 4: Tutorial Abstracts)</title>
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        <name type="personal">
            <namePart type="given">Maosong</namePart>
            <namePart type="family">Sun</namePart>
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            <publisher>Chinese Information Processing Society of China</publisher>
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    <abstract>“Speech and language computational models have been instrumental in advancing Artificial In-telligence in recent years. However, it remains an open question whether the human brain isemploying similar approaches to these models. This tutorial aims to provide an accessible intro-duction to the extensive research on this topic, specifically focusing on studies that seek to es-tablish quantitative correlations between neuroimaging data from human subjects and the outputof language models or automatic speech recognition systems. The tutorial covers various aspectsof this research, including a brief overview of brain-computer interfaces and neuroscience, com-mon techniques for data processing and pattern analysis, and representative research examples. Finally, the tutorial addresses the main limitations and technical challenges encountered in thisfield, as well as the relationship between brain mechanism research and brain-inspired artificialintelligence.”</abstract>
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%0 Conference Proceedings
%T Studying Language Processing in the Human Brain with Speech and Language Models
%A Chao, Zhang
%A Andrew, Thwaites
%A Cai, Wingfield
%Y Sun, Maosong
%Y Qin, Bing
%Y Qiu, Xipeng
%Y Jiang, Jing
%Y Han, Xianpei
%S Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 4: Tutorial Abstracts)
%D 2023
%8 August
%I Chinese Information Processing Society of China
%C Harbin, China
%G English
%F chao-etal-2023-studying
%X “Speech and language computational models have been instrumental in advancing Artificial In-telligence in recent years. However, it remains an open question whether the human brain isemploying similar approaches to these models. This tutorial aims to provide an accessible intro-duction to the extensive research on this topic, specifically focusing on studies that seek to es-tablish quantitative correlations between neuroimaging data from human subjects and the outputof language models or automatic speech recognition systems. The tutorial covers various aspectsof this research, including a brief overview of brain-computer interfaces and neuroscience, com-mon techniques for data processing and pattern analysis, and representative research examples. Finally, the tutorial addresses the main limitations and technical challenges encountered in thisfield, as well as the relationship between brain mechanism research and brain-inspired artificialintelligence.”
%U https://aclanthology.org/2023.ccl-4.3
%P 17-23

Markdown (Informal)

[Studying Language Processing in the Human Brain with Speech and Language Models](https://aclanthology.org/2023.ccl-4.3) (Chao et al., CCL 2023)

• Studying Language Processing in the Human Brain with Speech and Language Models (Chao et al., CCL 2023)

ACL

• Zhang Chao, Thwaites Andrew, and Wingfield Cai. 2023. Studying Language Processing in the Human Brain with Speech and Language Models. In Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 4: Tutorial Abstracts), pages 17–23, Harbin, China. Chinese Information Processing Society of China.