Version history

{
  "scope": "SSN model of V1 (data from macaque and mouse V1)",
  "claim_text": "The stabilized supralinear network (SSN) model generates gamma oscillations whose peak frequency monotonically increases with external drive, reproducing the contrast-dependence of cortical gamma; this contrast-dependence emerges from the supralinear neuronal I/O function and recurrent E-I structure.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1371/journal.pcbi.1012190",
    "claim": "The stabilized supralinear network (SSN) model generates gamma oscillations whose peak frequency monotonically increases with external drive, reproducing the contrast-dependence of cortical gamma; this contrast-dependence emerges from the supralinear neuronal I/O function and recurrent E-I structure.",
    "cite_key": "Holt2024",
    "evidence": "Reduced two-population SSN model; analytic + numerical mapping of gamma peak vs external drive across parameters; benchmarked against V1 contrast-gamma relationship.",
    "effect_size": "qualitative robust contrast-monotonic gamma peak increase across parameter regimes",
    "text_access": "fulltext",
    "study_system": "SSN model of V1 (data from macaque and mouse V1)",
    "argument_role": "supporting",
    "replication_status": "within_lab",
    "claim_source_sentence": "We show that, for a wide range of biological parameters, this reduced SSN model generates gamma oscillations with peak frequency that robustly increases with increasing external drive to the network.",
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    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
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  "section_id": "section_09",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
  "effect_size": "qualitative robust contrast-monotonic gamma peak increase across parameter regimes",
  "review_repo": "ComputationalReviewRecurrence",
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  "source_path": "evidence/section_09_evidence_package.json",
  "source_refs": [
    "paper:paper-21a697680a63"
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  "source_span": "We show that, for a wide range of biological parameters, this reduced SSN model generates gamma oscillations with peak frequency that robustly increases with increasing external drive to the network.",
  "study_system": "SSN model of V1 (data from macaque and mouse V1)",
  "evidence_refs": [
    {
      "ref": "paper:paper-21a697680a63"
    }
  ],
  "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation",
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    "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."
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    "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
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  "evidence_summary": "Reduced two-population SSN model; analytic + numerical mapping of gamma peak vs external drive across parameters; benchmarked against V1 contrast-gamma relationship.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "within_lab",
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  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}