Details
- scope
- mouse V1; two-photon 'optomapping' optogenetic input mapping
- section_id
- section_04
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
- effect_size
- 30,454 candidate inputs; 1,790 excitatory inputs; log-normal efficacy distribution.
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-04-translaminar
- source_kind
- review_finding
- source_path
- evidence/section_04_evidence_package.json
- study_system
- mouse V1; two-photon 'optomapping' optogenetic input mapping
- section_title
- 4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections
- evidence_summary
- Two-photon optogenetic 'optomapping', ~100x faster than paired patch, in mouse V1 across cell types.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-04-translaminar
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
- claim_text
Optomapping of 30,454 candidate inputs in mouse V1 reveals 1,790 excitatory inputs distributed across cell types with log-normal synaptic-efficacy distribution; pyramidal-cell input reproduces the canonical L4→L2/3→L5 microcircuit while basket-cell excitation concentrates in L5 and Martinotti-cell excitation dominates in L2/3.
- raw_fields
{ "n": 1790, "doi": "10.1016/j.xinn.2024.100735", "claim": "Optomapping of 30,454 candidate inputs in mouse V1 reveals 1,790 excitatory inputs distributed across cell types with log-normal synaptic-efficacy distribution; pyramidal-cell input reproduces the canonical L4→L2/3→L5 microcircuit while basket-cell excitation concentrates in L5 and Martinotti-cell excitation dominates in L2/3.", "cite_key": "Chou2025", "evidence": "Two-photon optogenetic 'optomapping', ~100x faster than paired patch, in mouse V1 across cell types.", "effect_size": "30,454 candidate inputs; 1,790 excitatory inputs; log-normal efficacy distribution.", "text_access": "abstract_only", "study_system": "mouse V1; two-photon 'optomapping' optogenetic input mapping", "argument_role": "supporting", "replication_status": "independently_replicated", "claim_source_sentence": "In mouse primary visual cortex (V1), we optomapped 30,454 candidate inputs to reveal 1,790 excitatory inputs to pyramidal, basket, and Martinotti cells. Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle. For pyramidal cells, optomapping reproduced the canonical circuit but unexpectedly uncovered that the excitation of basket cells concentrated to layer 5 and that of Martinotti cells dominated in layer 2/3.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [ "10.7554/eLife.71103", "10.1038/s41586-025-08840-3" ], "effect_size_source_sentence": "In mouse primary visual cortex (V1), we optomapped 30,454 candidate inputs to reveal 1,790 excitatory inputs to pyramidal, basket, and Martinotti cells." }- source_refs
[ "paper:paper-20192df165b8" ]
- source_span
In mouse primary visual cortex (V1), we optomapped 30,454 candidate inputs to reveal 1,790 excitatory inputs to pyramidal, basket, and Martinotti cells. Across these cell types, log-normal distribution of synaptic efficacies emerged as a principle. For pyramidal cells, optomapping reproduced the canonical circuit but unexpectedly uncovered that the excitation of basket cells concentrated to layer 5 and that of Marti...
- evidence_refs
[ { "ref": "paper:paper-20192df165b8" } ]- 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" }