Version history

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

  1. Live 2d5b2d1f5321
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse cortex (see paper for region/cell-type detail)",
      "claim_text": "Prospective and retrospective values integrated in frontal cortex drive predictive choice. Combining reinforcement learning and two-photon calcium imaging, we found that the preparatory activity of neurons in a part of the frontal cortex, the anterior-lateral motor (ALM) area, initially enc",
      "raw_fields": {
        "n": null,
        "doi": "10.1073/pnas.2206067119",
        "claim": "Prospective and retrospective values integrated in frontal cortex drive predictive choice. Combining reinforcement learning and two-photon calcium imaging, we found that the preparatory activity of neurons in a part of the frontal cortex, the anterior-lateral motor (ALM) area, initially enc",
        "cite_key": "Hamaguchi2022",
        "evidence": "Prospective and retrospective values integrated in frontal cortex drive predictive choice. — To make a deliberate action in a volatile environment, the brain must frequently reassess the value of each action (action-value). Choice can be initially made from the experience of trial-and-errors, but once the dynamics of the environment is learned, the choice can be made from the knowledge of t",
        "effect_size": null,
        "text_access": "fulltext",
        "study_system": "mouse cortex (see paper for region/cell-type detail)",
        "argument_role": "supporting",
        "replication_status": "single_study",
        "claim_source_sentence": "Our results demonstrated the importance of ALM in the deliberative action selection that incorporates the knowledge about the task.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_11",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-11-pattern-completion",
      "source_kind": "review_finding",
      "source_path": "evidence/section_11_evidence_package.json",
      "source_refs": [
        "paper:paper-7699c198fa2e"
      ],
      "source_span": "Our results demonstrated the importance of ALM in the deliberative action selection that incorporates the knowledge about the task.",
      "study_system": "mouse cortex (see paper for region/cell-type detail)",
      "evidence_refs": [
        {
          "ref": "paper:paper-7699c198fa2e"
        }
      ],
      "section_title": "11. Physiological signature III — pattern completion, replay, and sequence generation as recurrent-circuit read-outs in mouse cortex",
      "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": "Prospective and retrospective values integrated in frontal cortex drive predictive choice. — To make a deliberate action in a volatile environment, the brain must frequently reassess the value of each action (action-value). Choice can be initially made from the experience of trial-and-errors, but once the dynamics of the environment is learned, the choice can be made from the knowledge of t",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "single_study",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-11-pattern-completion",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }