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- Live5/17/2026, 4:35:28 PM
d82c9798c0ddContent snapshot
{ "scope": "layer 4 mouse primary somatosensory cortex, computational connectome analysis", "claim_text": "Cellular-resolution connectomic data can distinguish local cortical circuit models with >90% accuracy, and mapping only 10% of the local connectome suffices for model selection", "raw_fields": { "n": 0, "doi": "10.1038/s41467-021-22856-z", "claim": "Cellular-resolution connectomic data can distinguish local cortical circuit models with >90% accuracy, and mapping only 10% of the local connectome suffices for model selection", "evidence": "Approximate Bayesian model selection on simulated connectome data for L4 mouse S1", "effect_size": ">90% accuracy; 10% of connectome sufficient", "text_access": "fulltext", "study_system": "layer 4 mouse primary somatosensory cortex, computational connectome analysis", "replication_status": "replication_unknown", "claim_source_sentence": "We find that the distinction of the investigated local cortical models is faithfully possible based on purely structural connectomic data with an accuracy of more than 90%, and that such distinction is stable against substantial errors in the connectome measurement.", "replication_evidence_dois": [], "effect_size_source_sentence": "Furthermore, mapping a fraction of only 10% of the local connectome is sufficient for connectome-based model distinction under realistic experimental constraints." }, "section_id": "section_12_evidence_package", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json", "effect_size": ">90% accuracy; 10% of connectome sufficient", "review_repo": "ComputationalReviewPV", "section_ref": "wiki_page:computationalreviewpv-12", "source_kind": "review_finding", "source_path": "evidence/section_12_evidence_package.json", "source_refs": [ "paper:paper-1cf664621a30" ], "source_span": "We find that the distinction of the investigated local cortical models is faithfully possible based on purely structural connectomic data with an accuracy of more than 90%, and that such distinction is stable against substantial errors in the connectome measurement.", "study_system": "layer 4 mouse primary somatosensory cortex, computational connectome analysis", "evidence_refs": [ { "ref": "paper:paper-1cf664621a30" } ], "section_title": "Computational Models of PV Circuit Function", "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": "df9fc7e8d455b084152c9d713558dae0013cef21", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }, "evidence_summary": "Approximate Bayesian model selection on simulated connectome data for L4 mouse S1", "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7", "replication_status": "replication_unknown", "review_package_ref": "analysis_bundle:ab-e6261c8263e7", "source_artifact_ref": "wiki_page:computationalreviewpv-12", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_12_evidence_package.json", "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }