Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live b9ab7e1ec7e3
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "cortex",
      "claim_text": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
      "raw_fields": {
        "n": 0,
        "doi": "10.7554/elife.99808",
        "claim": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
        "evidence": "Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another ",
        "effect_size": null,
        "text_access": "fulltext",
        "study_system": "cortex",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_06_evidence_package",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewPV",
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        "paper:paper-00de1a2c593e"
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      "source_span": "We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability.",
      "study_system": "cortex",
      "evidence_refs": [
        {
          "ref": "paper:paper-00de1a2c593e"
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      "section_title": "Synaptic Physiology: Input Specificity, Output Targeting, and Short-Term Dynamics",
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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."
        ],
        "source_commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
      },
      "evidence_summary": "Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another ",
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      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json",
      "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
    }