On the similarities of representations in artificial and brain neural networks for speech recognition.

Journal Information

Full Title: Front Comput Neurosci

Abbreviation: Front Comput Neurosci

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurosciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
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Evidence found in paper:

"masked preprocessed human neuroimaging data used for this analysis is available from figshare ( https://doi org/10 6084/m9 figshare 5313484 v1 )."

Evidence found in paper:

"rdms were computed from dnn layer representations using publicly available scripts ( https://github com/lisulab/htk-postprocessing )."

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"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Evidence found in paper:

"Funding This research was supported financially by a Senior Research Fellowship to LS from Alzheimer's Research UK (ARUK-SRF2017B-1), an Advanced Investigator grant to WM-W from the European Research Council (AdG 230570 NEUROLEX), by MRC Cognition and Brain Sciences Unit (CBSU) funding to WM-W (U.1055.04.002.00001.01), and by a European Research Council Advanced Investigator grant under the European Community's Horizon 2020 Research and Innovation Programme (2014-2020 ERC Grant agreement no 669820) to Lorraine K. Tyler."

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Open Access
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Last Updated: Aug 05, 2025