Temporal Response Function-Driven Representational Similarity Analysis for Speech Perception Decoding with MEG and EEG.

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Bibliographic Details
Title: Temporal Response Function-Driven Representational Similarity Analysis for Speech Perception Decoding with MEG and EEG.
Authors: Liu C; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.; Hefei National Laboratory, Hefei 230088, China., Guo Y; College of Engineering and Computer Science, Syracuse University, Syracuse, NY 13244, USA., Ding J; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.; Hefei National Laboratory, Hefei 230088, China., Li L; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.; Hefei National Laboratory, Hefei 230088, China., Ma Y; State Key Laboratory of Smart Power Distribution Equipment and System, School of Electrical Engineering, Hebei University of Technology, Tianjin 300401, China., Ning X; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.; Hefei National Laboratory, Hefei 230088, China.; Shandong Key Laboratory for Magnetic Field-Free Medicine and Functional Imaging, Shandong University, Jinan 250014, China.; State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
Source: Biology [Biology (Basel)] 2026 Jun 28; Vol. 15 (13). Date of Electronic Publication: 2026 Jun 28.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101587988 Publication Model: Electronic Cited Medium: Print ISSN: 2079-7737 (Print) Linking ISSN: 20797737 NLM ISO Abbreviation: Biology (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2079-7737
DOI:10.3390/biology15131028