Details
- scope
- Mouse V1 (visual cortex); layer L2/3
- claim_text
- In mouse V1 L2/3, the long-tailed distribution of excitatory connection weights is explained by a rule whereby neurons with highly correlated responses form strong connections and uncorrelated neurons connect rarely and weakly.
- section_id
- section_06
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
- effect_size
- Cochran–Armitage trend p = 8.2 × 10⁻⁶ (across binned similarity)
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-06-connectomic-micons
- source_kind
- review_finding
- source_path
- evidence/section_06_evidence_package.json
- study_system
- Mouse V1 (visual cortex); layer L2/3
- section_title
- 6. Connectomic resolution — MICrONS mouse V1/HVA millimetre-scale EM volume; pyramidal-pyramidal wiring statistics derived from it; reconciliation with paired-recording estimates
- evidence_summary
- Paired EPSP vs. response-correlation analysis of mouse V1 L2/3 pyramidal pairs after in vivo imaging.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-06-connectomic-micons
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
- raw_fields
{ "n": 1, "doi": "10.1038/nature14182", "claim": "In mouse V1 L2/3, the long-tailed distribution of excitatory connection weights is explained by a rule whereby neurons with highly correlated responses form strong connections and uncorrelated neurons connect rarely and weakly.", "cite_key": "Cossell2015", "evidence": "Paired EPSP vs. response-correlation analysis of mouse V1 L2/3 pyramidal pairs after in vivo imaging.", "effect_size": "Cochran–Armitage trend p = 8.2 × 10⁻⁶ (across binned similarity)", "text_access": "fulltext", "study_system": "Mouse V1 (visual cortex); layer L2/3", "argument_role": "supporting", "replication_status": "independently_replicated", "claim_source_sentence": "Together, these data suggest that the long-tailed distribution of cortical connection weights arises from a simple rule: neurons with highly correlated responses form strong connections, and neurons with uncorrelated responses connect rarely, and only weakly.", "source_provenance_status": "ok", "replication_evidence_dois": [ "10.1038/nature09880", "10.1038/s41586-025-08840-3" ], "effect_size_source_sentence": "Neurons with more similar responses were much more likely to connect (= 8.2 × 10, Cochran–Armitage test for trend;), consistent with previous observations." }- source_refs
[ "paper:paper-c4ad527c9bfb" ]
- source_span
Together, these data suggest that the long-tailed distribution of cortical connection weights arises from a simple rule: neurons with highly correlated responses form strong connections, and neurons with uncorrelated responses connect rarely, and only weakly.
- evidence_refs
[ { "ref": "paper:paper-c4ad527c9bfb" } ]- 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" }