Temporal resolution shapes inferred higher-order interactions and information representation in neural population activity: A data-driven approach using minimally complex models

Fariba Jangjoo

Open source

DOI: 10.1371/journal.pone.0322347
Published: 2026-10-26
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0322347,
  title = {Temporal resolution shapes inferred higher-order interactions and information representation in neural population activity: A data-driven approach using minimally complex models},
  author = {Fariba Jangjoo},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0322347},
  url = {https://doi.org/10.1371/journal.pone.0322347}
}

RIS

TY  - JOUR
TI  - Temporal resolution shapes inferred higher-order interactions and information representation in neural population activity: A data-driven approach using minimally complex models
AU  - Fariba Jangjoo
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0322347
UR  - https://doi.org/10.1371/journal.pone.0322347
ER  -

APA

Jangjoo, F. (2026). Temporal resolution shapes inferred higher-order interactions and information representation in neural population activity: A data-driven approach using minimally complex models. PLOS One. https://doi.org/10.1371/journal.pone.0322347

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crossref · retrieved 2026-11-09T03:24:57.027Z