Version history

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  1. Live 717742547446
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "kind": "infographic",
      "prompt": "Fraction of mouse V1 neurons suppressed by E-ensemble holographic stimulation",
      "provider": "other",
      "raw_fields": {
        "title": "Fraction of mouse V1 neurons suppressed by E-ensemble holographic stimulation",
        "values": [
          {
            "study": "Sanzeni 2023 V1 ensemble - 2P imaging",
            "se_pct": 7,
            "n_animals": 3,
            "source_doi": "10.1016/j.neuron.2023.09.010",
            "fraction_suppressed_pct": 44
          },
          {
            "study": "Sanzeni 2023 V1 ensemble - electrophysiology",
            "se_pct": 8,
            "source_doi": "10.1016/j.neuron.2023.09.010",
            "fraction_suppressed_pct": 38
          },
          {
            "study": "Chettih & Harvey 2019 single-neuron stim - decoding decrease",
            "source_doi": "10.1038/s41586-019-0997-6",
            "decoding_decrease_pct": 2
          },
          {
            "study": "Dalgleish 2020 100/200-neuron ensemble - matched suppression preserves balance",
            "source_doi": "10.7554/eLife.58889"
          }
        ],
        "variable_x": "study / measurement modality",
        "variable_y": "fraction of neurons suppressed (%)",
        "audit_issues": [
          {
            "dimension": "metric_definition",
            "description": "Rows 1–2 report 'fraction of neurons suppressed (%)' from population-level optogenetic stim. Row 3 (Chettih & Harvey 2019) reports a 'decoding decrease (%)' from single-neuron stim — a different quantity that is not a network-suppression fraction. Row 4 (Dalgleish 2020) has no plottable value (qualitative).",
            "entries_affected": [
              "10.1016/j.neuron.2023.09.010",
              "10.1038/s41586-019-0997-6",
              "10.7554/eLife.58889"
            ]
          },
          {
            "dimension": "scope_population",
            "description": "Population-level holographic stim (rows 1–2) drives many neurons simultaneously; single-neuron stim (row 3) drives one cell at a time. Suppression fractions are not the same response.",
            "entries_affected": [
              "10.1016/j.neuron.2023.09.010",
              "10.1038/s41586-019-0997-6"
            ]
          },
          {
            "dimension": "sample_size",
            "description": "Row 1: n_animals = 3. Other rows lack matching n-definitions.",
            "entries_affected": [
              "10.1016/j.neuron.2023.09.010"
            ]
          }
        ],
        "audit_verdict": "REDESIGN",
        "interpretation": "Across mouse V1 ensemble-stimulation studies, a substantial fraction of network neurons (38–44% for population-level stim; ~2% net decoding effect for single-neuron stim) is suppressed by E-cell activation, consistent with strong recurrent inhibition stabilizing high E→E gain.",
        "data_source_doi": "10.1016/j.neuron.2023.09.010",
        "audit_fabrication_flag": "Label 'Sanzeni 2023' on DOI 10.1016/j.neuron.2023.09.010 does not match DOI authors (O'Rawe et al. 2023). The 'Sanzeni 2023' attribution may refer to the wrong paper or be a senior-author shortcut not present in the metadata; the cite-key 'ORawe2023' is what citation_key_map returns for this DOI.",
        "mandatory_caption_caveats": [
          "Rows 1–2 (ensemble-stim suppression %) cannot share an axis with row 3 (single-neuron decoding decrease %).",
          "Verify the 'Sanzeni 2023' label on DOI 10.1016/j.neuron.2023.09.010: the DOI maps to O'Rawe, Zhou, Li, LaFosse, Goldbach and Histed (2023) — Sanzeni is not on the author list.",
          "Phase 7 writer: REDESIGN verdict — implement as: Restrict to ensemble-stim 'fraction suppressed' studies (Sanzeni 2023 2P/ephys; Dalgleish 2020 if a quantitative value can be extracted) and report Chettih & Harvey 2019 single-neuron effect in a separate panel or in caption text. Resolve the Sanzeni/O'Rawe author/DOI mismatch first."
        ]
      },
      "section_id": "section_09",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
      "target_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
      "source_path": "evidence/section_09_evidence_package.json",
      "source_refs": [],
      "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation",
      "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"
      },
      "generation_status": "complete",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "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"
    }