Details

scope
mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America
claim_text
Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…
section_id
section_09
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-09-amplification-isn
source_kind
review_finding
source_path
evidence/section_09_evidence_package.json
study_system
mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America
section_title
9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single_study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-09-amplification-isn
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (7)
raw_fields
{
  "n": null,
  "doi": "10.1073/pnas.2426758122",
  "claim": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhi…",
  "cite_key": "Chau2025",
  "evidence": "What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here, we propose a formulation of the dependence of cell-type...",
  "effect_size": "To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference.",
  "text_access": "fulltext",
  "study_system": "mouse; V1, visual cortex; two-photon imaging, optogenetics, computational model; Proceedings of the National Academy of Sciences of the United States of America",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "claim_rewritten_from_source": true,
  "effect_size_source_sentence": "To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference."
}
effect_size
To test the robustness of our findings, we relax these assumptions and fit models so that the mix of 85% excitatory and 15% inhibitory cells match the perturbation response from ref., both as a function of distance and as a function of orientation tuning preference.
source_refs
[
  "paper:paper-07c82e3d34e3"
]
source_span
Analysis reveals the structure of connectivity implied by various features of single-cell perturbation responses, such as the surprisingly narrow spatial radius of nearby excitation beyond which inhibition dominates, the number of transitions between mean excitation and inhibition thereafter, and the dependence of these responses on feature preferences.
evidence_refs
[
  {
    "ref": "paper:paper-07c82e3d34e3"
  }
]
source_policy
{
  "mode": "public_source_pointer_with_short_context",
  "notes": [
    "Local review repositories are read-only inputs.",
    "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
  ],
  "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}
evidence_summary
What are the principles that govern the responses of cortical networks to their inputs and the emergence of these responses from recurrent connectivity? Recent experiments have probed these questions by measuring cortical responses to two-photon optogenetic perturbations of single cells in the mouse primary visual cortex. A robust theoretical framework is needed to determine the implications of these responses for cortical recurrence. Here, we propose a formulation of the dependence of cell-type...

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