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
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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. 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."
"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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Last Updated: Aug 05, 2025