Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing.

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
4/6
66.7% Transparent
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Evidence found in paper:

"all simulation and analysis codes for the present study are available at https://github com/duhosihn/stec_dynamic ."

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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:

"This research was supported by the Brain Convergence Research Programs of the National Research Foundation (NRF) funded by the Korean government (MSIT) (No. 2021M3E5D2A01019542) and the Alchemist Brain to X (B2X) Project funded by the Ministry of Trade, Industry and Energy (No. 20012355; NTIS No. 1415181023)."

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Tool: rtransparent

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Last Updated: Aug 05, 2025