Version history

{
  "scope": "Awake mouse V1, all-optical (MultiSLM + ChRmine + 2P imaging)",
  "claim_text": "MultiSLM multiphoton holography with red-shifted ChRmine in mouse V1 showed that stimulating a small but critical number of orientation-selective neurons in layer 2/3 or layer 5 elicited correct orientation-discrimination behavior, with smaller layer-5 ensembles as effective as larger layer-2/3 ensembles — direct optogenetic causal evidence for layer-asymmetric ensemble dynamics in mouse cortex.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1126/science.aaw5202",
    "claim": "MultiSLM multiphoton holography with red-shifted ChRmine in mouse V1 showed that stimulating a small but critical number of orientation-selective neurons in layer 2/3 or layer 5 elicited correct orientation-discrimination behavior, with smaller layer-5 ensembles as effective as larger layer-2/3 ensembles — direct optogenetic causal evidence for layer-asymmetric ensemble dynamics in mouse cortex.",
    "cite_key": "Marshel2019",
    "evidence": "MultiSLM holography + ChRmine; layer-asymmetric ensemble dynamics; smaller L5 ensembles match larger L2/3 ensembles for behavioral readout.",
    "effect_size": "smaller layer-5 ensembles as behaviorally effective as larger layer-2/3 ensembles; recruitment threshold ~ critical number",
    "text_access": "abstract_only",
    "study_system": "Awake mouse V1, all-optical (MultiSLM + ChRmine + 2P imaging)",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "Stimulating a critical number of stimulus-orientation-selective neurons drove widespread recruitment of functionally related neurons, a process enhanced by (but not requiring) orientation-discrimination task learning. Optogenetic targeting of orientation-selective ensembles elicited correct behavioral discrimination.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "smaller layer 5 ensembles were as effective as larger layer 2/3 ensembles in eliciting orientation discrimination behavior."
  },
  "section_id": "section_16",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json",
  "effect_size": "smaller layer-5 ensembles as behaviorally effective as larger layer-2/3 ensembles; recruitment threshold ~ critical number",
  "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-6c94ef0ab8aa"
  ],
  "source_span": "Stimulating a critical number of stimulus-orientation-selective neurons drove widespread recruitment of functionally related neurons, a process enhanced by (but not requiring) orientation-discrimination task learning. Optogenetic targeting of orientation-selective ensembles elicited correct behavioral discrimination.",
  "study_system": "Awake mouse V1, all-optical (MultiSLM + ChRmine + 2P imaging)",
  "evidence_refs": [
    {
      "ref": "paper:paper-6c94ef0ab8aa"
    }
  ],
  "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"
  },
  "evidence_summary": "MultiSLM holography + ChRmine; layer-asymmetric ensemble dynamics; smaller L5 ensembles match larger L2/3 ensembles for behavioral readout.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "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"
}