Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns.

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
3/6
50.0% Transparent
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Evidence found in paper:

"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. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision."

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The results described in Sections 1, 2.1, 3, 4.1, 4.2 were supported by the Slovenian Research and Innovation Agency (Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije) (Grant No. P1-0403). The results reported in Sections 2. 2, 2.3, 4.3, 4.4 were supported by the Russian Science Foundation, project 23-72-10088, https://rscf.ru/en/project/23-72-10088/."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025