Version history

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

  1. Live cd2e3a1559d0
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse primary visual cortex (in vivo two-photon, repeated visual stimulation)",
      "claim_text": "Repeated visual stimulation in mouse V1 refines the circuit: it reduces the number of responsive neurons while potentiating their responses, lowers dendritic spine density, raises spine AMPAR levels in the same subset of neurons, and clusters potentiation among neighboring spines on individual dendrites.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1016/j.celrep.2024.113966",
        "claim": "Repeated visual stimulation in mouse V1 refines the circuit: it reduces the number of responsive neurons while potentiating their responses, lowers dendritic spine density, raises spine AMPAR levels in the same subset of neurons, and clusters potentiation among neighboring spines on individual dendrites.",
        "cite_key": "LopezOrtega2024",
        "evidence": "In vivo two-photon imaging of structure and AMPAR levels in mouse V1 showed stimulus-driven decreases in number of responsive neurons and spine density, with concomitant increases in spine AMPAR levels and local clustering of potentiation.",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": "Mouse primary visual cortex (in vivo two-photon, repeated visual stimulation)",
        "argument_role": "supporting",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "Our results demonstrate that repeated stimulation leads to a refinement of V1 circuitry by decreasing the number of responsive neurons while potentiating their response.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_12",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-12-plasticity",
      "source_kind": "review_finding",
      "source_path": "evidence/section_12_evidence_package.json",
      "source_refs": [
        "paper:paper-be49e5cccec4"
      ],
      "source_span": "Our results demonstrate that repeated stimulation leads to a refinement of V1 circuitry by decreasing the number of responsive neurons while potentiating their response.",
      "study_system": "Mouse primary visual cortex (in vivo two-photon, repeated visual stimulation)",
      "evidence_refs": [
        {
          "ref": "paper:paper-be49e5cccec4"
        }
      ],
      "section_title": "12. Plasticity at E→E synapses in mouse — Hebbian, STDP, behavioural-time-scale plasticity; how plasticity shapes the recurrent matrix during learning",
      "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": "In vivo two-photon imaging of structure and AMPAR levels in mouse V1 showed stimulus-driven decreases in number of responsive neurons and spine density, with concomitant increases in spine AMPAR levels and local clustering of potentiation.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-12-plasticity",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }