Version history

{
  "scope": "Awake mouse visual cortex; mesoscale two-photon calcium imaging",
  "claim_text": "Recording more than 10,000 neurons in awake mouse visual cortex shows that spontaneous activity reliably encodes a high-dimensional latent state related to ongoing behavior across the forebrain, and that sensory inputs add stimulus representations in orthogonal dimensions rather than interrupting the ongoing signal.",
  "raw_fields": {
    "n": 10000,
    "doi": "10.1126/science.aav7893",
    "claim": "Recording more than 10,000 neurons in awake mouse visual cortex shows that spontaneous activity reliably encodes a high-dimensional latent state related to ongoing behavior across the forebrain, and that sensory inputs add stimulus representations in orthogonal dimensions rather than interrupting the ongoing signal.",
    "cite_key": "Stringer2019b",
    "evidence": "Foundational large-scale 2P result motivating multidimensional analyses of mouse-cortex population codes; large-N enabled by mesoscope.",
    "effect_size": ">10,000 neurons simultaneously recorded in mouse visual cortex",
    "text_access": "abstract_only",
    "study_system": "Awake mouse visual cortex; mesoscale two-photon calcium imaging",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse's ongoing behavior and was represented not just in visual cortex but also across the forebrain.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse's ongoing behavior and was represented not just in visual cortex but also across the forebrain."
  },
  "section_id": "section_16",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "effect_size": ">10,000 neurons simultaneously recorded in mouse visual cortex",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "source_kind": "review_finding",
  "source_path": "evidence/section_16_evidence_package.json",
  "source_refs": [
    "paper:paper-d69a4ecd49f6"
  ],
  "source_span": "Recording more than 10,000 neurons in mouse visual cortex, we observed that spontaneous activity reliably encoded a high-dimensional latent state, which was partially related to the mouse's ongoing behavior and was represented not just in visual cortex but also across the forebrain.",
  "study_system": "Awake mouse visual cortex; mesoscale two-photon calcium imaging",
  "evidence_refs": [
    {
      "ref": "paper:paper-d69a4ecd49f6"
    }
  ],
  "section_title": "16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses",
  "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"
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  "evidence_summary": "Foundational large-scale 2P result motivating multidimensional analyses of mouse-cortex population codes; large-N enabled by mesoscope.",
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  "replication_status": "single-study",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-16-synthesis",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}