Version history

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

  1. Live e428fa997929
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "computational model of dorsal striatum with support from striatal recordings (species not specified)",
      "claim_text": "Simultaneous activation of functionally opponent direct- and indirect-pathway spiny projection neurons following action selection resolves a fundamental inconsistency between striatal reinforcement learning models and known SPN synaptic plasticity rules.",
      "raw_fields": {
        "n": null,
        "doi": "10.7554/elife.101747",
        "claim": "Simultaneous activation of functionally opponent direct- and indirect-pathway spiny projection neurons following action selection resolves a fundamental inconsistency between striatal reinforcement learning models and known SPN synaptic plasticity rules.",
        "cite_key": "Lindsey2025",
        "evidence": "Computational modeling of striatal reinforcement learning combined with analysis of striatal recording data to test predictions about concurrent dSPN and iSPN activation during action selection.",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": "computational model of dorsal striatum with support from striatal recordings (species not specified)",
        "source_cluster_id": "cluster_01",
        "replication_status": "novel",
        "claim_source_sentence": "However, this pathological behavior is reversed if functionally opponent dSPNs and iSPNs, which promote and suppress the current behavior, are simultaneously activated by efferent input following action selection.",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_01",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_01_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-01",
      "source_kind": "review_finding",
      "source_path": "evidence/section_01_evidence_package.json",
      "source_refs": [
        "paper:paper-64428af7e294"
      ],
      "source_span": "However, this pathological behavior is reversed if functionally opponent dSPNs and iSPNs, which promote and suppress the current behavior, are simultaneously activated by efferent input following action selection.",
      "study_system": "computational model of dorsal striatum with support from striatal recordings (species not specified)",
      "evidence_refs": [
        {
          "ref": "paper:paper-64428af7e294"
        }
      ],
      "section_title": "Introduction: Swanson's Loop Hypothesis and Its Intellectual Lineage",
      "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": "0632aae8abc141909207fe91f6349b9e36489c3b",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
      },
      "evidence_summary": "Computational modeling of striatal reinforcement learning combined with analysis of striatal recording data to test predictions about concurrent dSPN and iSPN activation during action selection.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "novel",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-01",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_01_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }