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{ "kind": "infographic", "prompt": "Small numbers (single-digit to low-tens) of mouse cortical pyramidal neurons are causally sufficient to drive perceptual decisions, with the most extreme number coming from V1 'pattern-completion' neurons whose activation recalls a larger ensemble.", "provider": "other", "raw_fields": { "papers": [ { "n": null, "doi": "10.7554/eLife.58889", "value": "~14", "method": "2p holographic optogenetics + 2p Ca imaging", "metric": "minimum neurons sufficient for perceptual detection", "n_analyzed": null, "ci_or_error": "saturates at ~37", "text_access": "abstract_only", "n_definition": "L2/3 pyramidal neurons activated per ensemble", "scope_region": "primary somatosensory cortex (barrel)", "study_system": "awake mouse barrel cortex", "taxonomic_level": "broad excitatory cell category", "scope_population": "L2/3 pyramidal neurons", "value_source_sentence": "By precisely titrating the number of neurons stimulated, we demonstrate that the lower bound for perception of cortical activity is ~14 pyramidal neurons.", "experimental_conditions": "all-optical 2p activation + detection task" }, { "n": null, "doi": "10.1016/j.cell.2019.05.045", "value": "2", "method": "2p holographic optogenetics + Ca imaging", "metric": "pattern-completion neurons sufficient to bias visual behavior", "n_analyzed": null, "ci_or_error": null, "text_access": "abstract_only", "n_definition": "pattern-completion neurons activated to recall an ensemble", "scope_region": "primary visual cortex", "study_system": "awake mouse V1", "taxonomic_level": "fine functional subtype", "scope_population": "pattern-completion neurons within ensembles", "value_source_sentence": "activation of only two pattern completion neurons from behaviorally relevant ensembles improved performance, by reliably recalling the whole ensemble.", "experimental_conditions": "visual go/no-go discrimination" } ], "audit_issues": [ { "dimension": "scope_region", "description": "S1 barrel cortex (Dalgleish/eLife 58889) vs. V1 (Carrillo-Reid/Cell 2019).", "entries_affected": [ "10.7554/eLife.58889", "10.1016/j.cell.2019.05.045" ] }, { "dimension": "scope_population", "description": "Targeting differs: random L2/3 pyramidal neurons (Dalgleish) vs. pre-identified pattern-completion neurons within a behaviourally-relevant ensemble (Carrillo-Reid). Therefore the '~14 vs. 2' difference reflects target-selection sophistication, not a baseline biological threshold.", "entries_affected": [ "10.7554/eLife.58889", "10.1016/j.cell.2019.05.045" ] }, { "dimension": "metric_definition", "description": "Dalgleish's '~14' is the minimum count sufficient to drive detection; Carrillo-Reid's '2' is the number of pattern-completion neurons whose activation biases an existing visual discrimination — a different operational definition.", "entries_affected": [ "10.7554/eLife.58889", "10.1016/j.cell.2019.05.045" ] } ], "audit_verdict": "CAVEAT", "comparison_id": "perceptual-threshold-cortical-activation", "comparison_name": "Minimum number of mouse cortical neurons whose holographic activation drives behavior", "comparison_type": "convergent evidence", "what_it_reveals": "Small numbers (single-digit to low-tens) of mouse cortical pyramidal neurons are causally sufficient to drive perceptual decisions, with the most extreme number coming from V1 'pattern-completion' neurons whose activation recalls a larger ensemble.", "homogeneity_check": { "caveats": [ "Cell 2019 uses V1 'pattern-completion' neurons; eLife 2020 uses randomly targeted L2/3 pyramidal neurons in S1 — the metric is conceptually compared but not directly equivalent (selective vs random targeting).", "Behavioral tasks differ: visual go/no-go (Cell 2019) vs perceptual detection (eLife 2020)." ], "n_definition_uniform": "false", "scope_region_uniform": "false", "taxonomic_level_uniform": "false", "scope_population_uniform": "false" }, "suggested_plot_type": "forest plot", "mandatory_caption_caveats": [ "The ~14 vs. 2 difference is largely driven by neuron-selection strategy (random L2/3 vs. selected pattern-completion neurons), not by a difference in baseline cortical sensitivity.", "Tasks differ (perceptual detection vs. visual go/no-go discrimination); cortical areas differ (S1 vs. V1)." ] }, "section_id": "section_11", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json", "target_ref": "wiki_page:computationalreviewrecurrence-11-pattern-completion", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-11-pattern-completion", "source_path": "evidence/section_11_evidence_package.json", "source_refs": [ "paper:paper-d2118dd5013a", "paper:paper-e37e0b6bad65" ], "section_title": "11. Physiological signature III — pattern completion, replay, and sequence generation as recurrent-circuit read-outs in mouse cortex", "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_11_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }