Version history

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

  1. Live 6aab0ce1b2d0
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse barrel cortex L4→L2/3 and L2/3→L2/3 synapses (slice)",
      "claim_text": "At mouse barrel-cortex L4→L2/3 synapses, t-LTP and t-LTD show a double dissociation by NMDAR subunit: a GluN2A-preferring antagonist blocks t-LTP but not t-LTD, while a GluN2C/D antagonist blocks t-LTD but not t-LTP.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1093/cercor/bhp067",
        "claim": "At mouse barrel-cortex L4→L2/3 synapses, t-LTP and t-LTD show a double dissociation by NMDAR subunit: a GluN2A-preferring antagonist blocks t-LTP but not t-LTD, while a GluN2C/D antagonist blocks t-LTD but not t-LTP.",
        "cite_key": "Banerjee2009",
        "evidence": "Subunit-preferring antagonists dissociated t-LTP and t-LTD at L4→L2/3 synapses; the GluN2C/D requirement for t-LTD was synapse-specific (not present at horizontal L2/3→L2/3 t-LTD, which was GluN2B-dependent).",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": "Mouse barrel cortex L4→L2/3 and L2/3→L2/3 synapses (slice)",
        "argument_role": "supporting",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "An antagonist at GluN2C/D subunit-containing NMDA receptors blocked t-LTD but not t-LTP. Conversely, a GluN2A subunit-preferring antagonist blocked t-LTP but not t-LTD.",
        "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-673cb5de6c80"
      ],
      "source_span": "An antagonist at GluN2C/D subunit-containing NMDA receptors blocked t-LTD but not t-LTP. Conversely, a GluN2A subunit-preferring antagonist blocked t-LTP but not t-LTD.",
      "study_system": "Mouse barrel cortex L4→L2/3 and L2/3→L2/3 synapses (slice)",
      "evidence_refs": [
        {
          "ref": "paper:paper-673cb5de6c80"
        }
      ],
      "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": "Subunit-preferring antagonists dissociated t-LTP and t-LTD at L4→L2/3 synapses; the GluN2C/D requirement for t-LTD was synapse-specific (not present at horizontal L2/3→L2/3 t-LTD, which was GluN2B-dependent).",
      "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"
    }