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An fMRI-based auditory decoding framework combined with convolutional neural network for predicting the semantics of real-life sounds from brain activity

Crossref DOI link: https://doi.org/10.1007/s10489-024-05873-5

Published Online: 2024-12-10

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhao, Mingqian

Liu, Baolin https://orcid.org/0000-0003-0975-2316
Funding

Funding for this research was provided by:

the National Natural Science Foundation of China (No.U2133218)

the National Key Research and Development Program of China (No.2018YFB0204304)

the Fundamental Research Funds for the Central Universities of China (No.FRF-MP-19-007, No. FRF-TP-20-065A1Z)
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Text and Data Mining valid from 2024-12-10

Version of Record valid from 2024-12-10
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Article History

Accepted: 1 November 2024

First Online: 10 December 2024

Declarations

:

: This research has no potential competing interests, which encompass financial, non-financial, or other associations with individuals or organizations that could improperly impact our work.Ethical and informed consent for data usedThe data used in this study is legally obtained. The experimental procedure was approved by the local ethics committee, and prior to the experiment, all participants signed informed consent, ensuring compliance with ethical standards.

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