Designing optimal perturbation inputs for system identification in neuroscience

Mikito Ogino, Daiki Sekizawa, Jun Kitazono, Masafumi Oizumi

Open source

DOI: 10.7554/elife.110030
Published: 2026-10-13
Container: eLife
Publisher: eLife Sciences Publications, Ltd
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.7554/elife.110030,
  title = {Designing optimal perturbation inputs for system identification in neuroscience},
  author = {Mikito Ogino and Daiki Sekizawa and Jun Kitazono and Masafumi Oizumi},
  year = {2026},
  journal = {eLife},
  doi = {10.7554/elife.110030},
  url = {https://doi.org/10.7554/elife.110030}
}

RIS

TY  - JOUR
TI  - Designing optimal perturbation inputs for system identification in neuroscience
AU  - Mikito Ogino
AU  - Daiki Sekizawa
AU  - Jun Kitazono
AU  - Masafumi Oizumi
PY  - 2026
JO  - eLife
DO  - 10.7554/elife.110030
UR  - https://doi.org/10.7554/elife.110030
ER  -

APA

Ogino, M., Sekizawa, D., Kitazono, J., & Oizumi, M. (2026). Designing optimal perturbation inputs for system identification in neuroscience. eLife. https://doi.org/10.7554/elife.110030

Source records

crossref · retrieved 2026-11-07T02:57:12.797Z