Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons.

Publication Year: 2021

DOI:
10.1007/s00422-021-00894-6

PMCID:
PMC8551150

PMID:
34628539

Journal Information

Full Title: Biol Cybern

Abbreviation: Biol Cybern

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Physiology

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:

"all custom code is available via https://github com/marijeterwal/rs-fs-lts-clustering ( https://doi org/10 6084/m9 figshare 14695584 )."

Evidence found in paper:

"all custom code is available via https://github com/marijeterwal/rs-fs-lts-clustering ( https://doi org/10 6084/m9 figshare 14695584 ).; code availability all code used to simulate and analyze the model presented here is available via https://github com/marijeterwal/rs-fs-lts-clustering ."

Evidence found in paper:

"Declarations Conflicts of interestThe authors declare no completing interests. Conflicts of interest The authors declare no completing interests."

Evidence found in paper:

"Funding This work is supported by funding from the European Union’s Seventh Framework Programme (FP7/2007–2013) Grant no. 600925 (NeuroSeeker) and European Union’s Horizon 2020 Research and Innovation Programme Grant no. 720270 (HBP SGA1) and Grant no. 785907 (HBP SGA2)."

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025