Version history

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

  1. Live a801bf120560
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mice performing olfactory delayed match-to-sample working-memory task; brain-wide recordings",
      "claim_text": "In a mouse olfactory working-memory task, brain-wide recordings reveal millisecond cross-region spike-coupling motifs (chains, loops, nested loops) enriched among memory-encoding neurons of similar odour preference, hierarchically organised, and replayed during inter-trial intervals — a candidate mechanism for working-memory maintenance through multi-area sequence propagation.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1007/s12264-025-01524-y",
        "claim": "In a mouse olfactory working-memory task, brain-wide recordings reveal millisecond cross-region spike-coupling motifs (chains, loops, nested loops) enriched among memory-encoding neurons of similar odour preference, hierarchically organised, and replayed during inter-trial intervals — a candidate mechanism for working-memory maintenance through multi-area sequence propagation.",
        "cite_key": "Huang2025a",
        "evidence": "",
        "effect_size": "",
        "text_access": "abstract_only",
        "study_system": "mice performing olfactory delayed match-to-sample working-memory task; brain-wide recordings",
        "argument_role": "supporting",
        "replication_status": "single_lab",
        "claim_source_sentence": "Spike coupling linked neurons into motifs of chains, single loops, and nested loops, especially among hippocampal and prefrontal-cortex neurons.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "Motifs exhibited hierarchical organization, with progressively longer time constants and the number of participating neurons."
      },
      "section_id": "section_10",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
      "effect_size": "",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
      "source_kind": "review_finding",
      "source_path": "evidence/section_10_evidence_package.json",
      "source_refs": [
        "paper:paper-ab4451118f82"
      ],
      "source_span": "Spike coupling linked neurons into motifs of chains, single loops, and nested loops, especially among hippocampal and prefrontal-cortex neurons.",
      "study_system": "mice performing olfactory delayed match-to-sample working-memory task; brain-wide recordings",
      "evidence_refs": [
        {
          "ref": "paper:paper-ab4451118f82"
        }
      ],
      "section_title": "10. Physiological signature II — persistent activity and attractor dynamics supported by E→E recurrence (delay-period activity in mouse PFC/ALM, working memory, head-direction)",
      "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": "",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "single_lab",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-10-persistent-activity",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_10_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }