Version history

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

  1. Live 600841f1c8d0
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Review (mammalian and nonmammalian indicators)",
      "claim_text": "A review of genetically encoded fluorescent indicators of neuronal activity argues that the field's progress in mouse-cortex circuit interrogation has been bound primarily by indicator biophysics (kinetics, dynamic range, signal-to-noise) rather than optics — framing the methodological ceiling for any recurrent-circuit measurement that relies on fluorescence reporting.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1038/nn.4359",
        "claim": "A review of genetically encoded fluorescent indicators of neuronal activity argues that the field's progress in mouse-cortex circuit interrogation has been bound primarily by indicator biophysics (kinetics, dynamic range, signal-to-noise) rather than optics — framing the methodological ceiling for any recurrent-circuit measurement that relies on fluorescence reporting.",
        "cite_key": "Lin2016",
        "evidence": "Review of classes of fluorescent activity indicators emphasizing indicator-driven limits on in vivo recording fidelity.",
        "effect_size": "qualitative review of GECI classes and their biophysical limits",
        "text_access": "abstract_only",
        "study_system": "Review (mammalian and nonmammalian indicators)",
        "argument_role": "supporting",
        "replication_status": "review",
        "claim_source_sentence": "In this review, we describe and assess different classes of fluorescent protein indicators of neural activity.",
        "source_provenance_status": "non_substring_match",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "creating improved technologies for large-scale recordings of neural activity in the live brain is a crucial goal in neuroscience."
      },
      "section_id": "section_15",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
      "effect_size": "qualitative review of GECI classes and their biophysical limits",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
      "source_kind": "review_finding",
      "source_path": "evidence/section_15_evidence_package.json",
      "source_refs": [
        "paper:paper-1c782ef3dca9"
      ],
      "source_span": "In this review, we describe and assess different classes of fluorescent protein indicators of neural activity.",
      "study_system": "Review (mammalian and nonmammalian indicators)",
      "evidence_refs": [
        {
          "ref": "paper:paper-1c782ef3dca9"
        }
      ],
      "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
      "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 of classes of fluorescent activity indicators emphasizing indicator-driven limits on in vivo recording fidelity.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "review",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }