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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 2", "provider": "other", "raw_fields": { "axes": { "x": "presynaptic-postsynaptic layer pair / cell-pair tuning correlation", "y": "unitary EPSP amplitude (mV) or efficacy" }, "datasets": [ { "doi": "10.1016/j.neuron.2008.12.020", "method": "paired recording across 6 layers", "system": "mouse C2 barrel column", "value_summary": "Layer-specific EPSP amplitudes with rare large-amplitude E→E connections in all layers.", "claim_source_sentence": "In all layers we found rare large-amplitude synaptic connections, which are likely to contribute strongly to reliable information processing." }, { "doi": "10.1038/nature14182", "method": "paired recording + 2P functional imaging", "system": "mouse V1 L2/3", "value_summary": "L2/3→L2/3 EPSP amplitudes span >2 orders of magnitude; few strong connections between maximally correlated neurons.", "claim_source_sentence": "Excitatory connection amplitudes between pairs of cortical neurons vary over two orders of magnitude, comprising only very few strong connections among many weaker ones." }, { "doi": "10.1093/cercor/bhx094", "method": "paired recording", "system": "mouse C2 barrel column", "value_summary": "Layer-dependent short-term plasticity directions: depression dominant at many layer pairs; L2 presynaptic gives facilitation at 10–30 ms ISI.", "claim_source_sentence": "We find layer-dependent short-term plasticity, with depression being dominant at many synaptic connections." }, { "doi": "10.1126/science.abj5861", "method": "Allen Institute synaptic physiology platform — paired recordings", "system": "mouse and human cortex multi-patch dataset (mouse portion in scope)", "value_summary": "Strength and variability are the two main axes of E synapse heterogeneity; subclasses divide along the variability axis.", "claim_source_sentence": "The two main axes of heterogeneity are strength and variability. Cell subclasses divide along the variability axis, whereas the strength axis accounts for substantial heterogeneity within the subclass." }, { "doi": "10.1523/JNEUROSCI.0836-14.2015", "method": "paired patch + retrograde labeling", "system": "mouse auditory cortex", "value_summary": "L2/3→L5B unitary EPSC amplitude/latency/rise/decay are identical for corticocollicular vs corticocallosal targets but short-term plasticity differs (no depression vs substantial depression).", "claim_source_sentence": "In paired recordings between single L2/3 and labeled L5B neurons, the probabilities of connection, amplitude, latency, rise time, and decay time constant of the unitary EPSC were not different for L2/3→corticocollicular and L2/3→corticocallosal connections." } ], "audit_issues": [ { "dimension": "metric_definition", "description": "Distributions are reported in different quantities (EPSP amplitude, short-term-plasticity ratio, EPSC amplitude/latency/rise/decay; 'strength + variability axes'). No single y-axis encompasses them.", "entries_affected": [ "10.1016/j.neuron.2008.12.020", "10.1038/nature14182", "10.1093/cercor/bhx094", "10.1126/science.abj5861", "10.1523/JNEUROSCI.0836-14.2015" ] }, { "dimension": "scope_region", "description": "S1 barrel column (Lefort, Lavzin), V1 L2/3 (Cossell), and auditory cortex L2/3→L5B (Williamson). Mixed sensory cortices.", "entries_affected": [ "10.1016/j.neuron.2008.12.020", "10.1038/nature14182", "10.1093/cercor/bhx094", "10.1523/JNEUROSCI.0836-14.2015" ] }, { "dimension": "scope_population", "description": "Layer-pair scopes differ: full 6-layer pairs, L2/3→L2/3, L2/3→L5B target-specific. Distribution shapes are not commensurable when pooled.", "entries_affected": [ "10.1016/j.neuron.2008.12.020", "10.1038/nature14182", "10.1523/JNEUROSCI.0836-14.2015" ] } ], "audit_verdict": "CAVEAT", "figure_concept": "Translaminar E→E unitary EPSP amplitude / synaptic strength distributions in mouse cortex", "interpretation_note": "Numeric EPSP amplitudes are recorded as paper-specific values; the figure compares unitary strength distributions, log-normal shape (Cossell 2015), translaminar L2/3→L5B sub-target equivalence (Joshi 2015), short-term-plasticity direction (Frandolig 2017), and the Allen synaptic physiology axes (Campagnola 2022).", "mandatory_caption_caveats": [ "Distributions are quantified in different ways (amplitude, short-term-plasticity index, multi-axis decomposition); rows are not directly stackable on a single amplitude axis.", "Layer-pair scopes differ across rows (whole 6-layer matrix, L2/3→L2/3 only, L2/3→L5B target-specific)." ] }, "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" }