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{ "kind": "infographic", "prompt": "4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections figure 1", "provider": "other", "raw_fields": { "axes": { "x": "presynaptic layer", "y": "postsynaptic layer", "z": "connection probability" }, "datasets": [ { "doi": "10.1016/j.neuron.2008.12.020", "method": "multi-patch paired recording across all 6 layers", "system": "mouse C2 barrel column (S1)", "value_summary": "Strongest excitatory influence on the column from presynaptic L4. Layer-pair P(conn) matrix is reported across all 6 layers in the paper's Figure 4 (verbatim numbers in source).", "claim_source_sentence": "The strongest excitatory influence upon the cortical column was provided by presynaptic layer 4 neurons." }, { "doi": "10.1371/journal.pbio.1000572", "method": "glutamate-uncaging laminar maps (CRACM-style)", "system": "mouse vM1, vS1, S2", "value_summary": "Conserved L2/3→L5 across vM1/vS1/S2; variable L4→L2/3 and L6 across areas.", "claim_source_sentence": "The most conserved pathways were L2/3→L5, and the most variable were L4→L2/3 and pathways involving L6." }, { "doi": "10.7554/eLife.71103", "method": "two-photon optogenetic stimulation + multi-patch", "system": "mouse V1, L2/3 targets", "value_summary": "Most common sources of input to L2/3 pyramidal cells are L4 excitatory + intra-L2/3 interneurons; strong but unexpected L5-IT→L2/3 excitatory connections.", "claim_source_sentence": "Consistent with the canonical cortical microcircuit, layer 4 excitatory neurons and interneurons within L2/3 represented the most common sources of input to L2/3 pyramidal cells. More surprisingly, we also observed strong excitatory connections from layer 5 intratelencephalic neurons and potent translaminar inhibition from multiple interneuron subclasses." }, { "doi": "10.1016/j.xinn.2024.100735", "method": "2P 'optomapping' — 30,454 candidate inputs", "system": "mouse V1, all-layer targets", "value_summary": "Across 1,790 excitatory inputs, log-normal efficacy distribution; pyramidal input recapitulates canonical L4→L2/3→L5; basket-cell excitation concentrated in L5; Martinotti-cell excitation dominated in L2/3.", "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." }, { "doi": "10.1038/s41586-025-08840-3", "method": "EM connectome + 2P functional imaging", "system": "MICrONS mouse V1 + HVAs", "value_summary": "Like-to-like connectivity holds within and across layers and areas, including feedback; feature component (not spatial) predicts fine-scale connections.", "claim_source_sentence": "Our results reveal that neurons with similar response properties are preferentially connected within and across layers and areas-including feedback connections-supporting the universality of 'like-to-like' connectivity across the visual hierarchy." } ], "audit_issues": [ { "dimension": "study_system", "description": "Methods are heterogeneous: multi-patch paired recording (Lefort), glutamate-uncaging CRACM (Hooks/Shepherd), 2P-optogenetic + multipatch (eLife 71103), 2P 'optomapping' (Inn 2024), and EM functional connectomics (MICrONS). Each technique samples a different connection definition (intersomatic vs. axodendritic vs. synaptic-density).", "entries_affected": [ "10.1016/j.neuron.2008.12.020", "10.1371/journal.pbio.1000572", "10.7554/eLife.71103", "10.1016/j.xinn.2024.100735", "10.1038/s41586-025-08840-3" ] }, { "dimension": "scope_region", "description": "Rows cover mouse S1 barrel column, vM1/vS1/S2, V1 only, V1, and V1+HVAs. Matrix entries are not from a single cortical area.", "entries_affected": [ "10.1016/j.neuron.2008.12.020", "10.1371/journal.pbio.1000572", "10.7554/eLife.71103", "10.1016/j.xinn.2024.100735", "10.1038/s41586-025-08840-3" ] }, { "dimension": "scope_population", "description": "Postsynaptic targets differ (all layers vs. L2/3 only vs. pyramidal+basket+Martinotti), so matrix coverage is not uniform across rows.", "entries_affected": [ "10.7554/eLife.71103", "10.1016/j.xinn.2024.100735" ] } ], "audit_verdict": "CAVEAT", "figure_concept": "Translaminar E→E connection probability matrices across mouse cortical areas (paired-recording / opto-mapping)", "interpretation_note": "Numeric P(conn) values for individual layer pairs are taken from each paper's main figure; the comparison places mouse barrel-column paired-recording matrices (Lefort 2009) alongside laminar maps in motor/somatosensory/secondary-somatosensory cortex (Weiler 2011), two-photon optogenetic translaminar inputs in V1 (Apicella 2022, Lan 2024), and the MICrONS structural-functional cortical reconstruction.", "mandatory_caption_caveats": [ "Studies use different connection definitions (paired patch, glutamate uncaging, 2P optogenetics, optomapping, EM); reported P(conn) values reflect different sampling biases and are not directly comparable.", "Rows span mouse S1, vM1/vS1/S2 and V1; the matrix is assembled across areas, not within one." ] }, "section_id": "section_04", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json", "target_ref": "wiki_page:computationalreviewrecurrence-04-translaminar", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-04-translaminar", "source_path": "evidence/section_04_evidence_package.json", "source_refs": [], "section_title": "4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections", "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" }, "generation_status": "complete", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "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" }