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- Live5/17/2026, 4:35:28 PM
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{ "scope": "Mouse V1 L2/3, awake behaving; two-photon holographic optogenetics + two-photon calcium imaging", "claim_text": "Two-photon optogenetic activation of small ensembles in mouse V1 produces matched suppression of the surrounding network, preserving the balance of activation and suppression — direct evidence of the distributed-suppression signature predicted by strongly coupled recurrent E-I cortical networks.", "raw_fields": { "n": 12, "doi": "10.7554/elife.58889", "claim": "Two-photon optogenetic activation of small ensembles in mouse V1 produces matched suppression of the surrounding network, preserving the balance of activation and suppression — direct evidence of the distributed-suppression signature predicted by strongly coupled recurrent E-I cortical networks.", "cite_key": "Dalgleish2020", "evidence": "Two-photon holographic photoactivation of 1–200 mouse V1 L2/3 pyramidal cells during a behavioral detection task with simultaneous two-photon imaging of network responses.", "effect_size": "200-neuron d-prime 2.39 ± 0.86; 100-neuron d-prime 2.13 ± 0.93; matched suppression maintains spontaneous balance", "text_access": "fulltext", "study_system": "Mouse V1 L2/3, awake behaving; two-photon holographic optogenetics + two-photon calcium imaging", "argument_role": "supporting", "replication_status": "within_lab", "claim_source_sentence": "We also demonstrate that while detection rates increase with increasing stimulation, the surrounding network responds with matched suppression which maintains the balance of activation and suppression at a level consistent with spontaneous epochs.", "source_provenance_status": "ok", "replication_evidence_dois": [ "10.1016/j.neuron.2023.09.010" ], "effect_size_source_sentence": "We found that animals reliably detected 2P photostimulation of both 200 and 100 neurons consistently across time, from the first session (first 200 neuron d-prime: 2.39 ± 0.86 vs 1, p=1.70 × 10paired t-test; first 100 neuron d-prime: 2.13 ± 0.93 vs 1, p=1.4 × 10paired t-test,= 12 mice) to the last session (last 200 neuron d-prime: 2.83 ± 0.62 vs 1, p=5.95 × 10paired t-test; last 100 neuron d-prime: 2.55 ± 0.7 vs 1, p=1.00 × 10paired t-test,= 12 mice) and only showed a modest improvement over time." }, "section_id": "section_09", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "effect_size": "200-neuron d-prime 2.39 ± 0.86; 100-neuron d-prime 2.13 ± 0.93; matched suppression maintains spontaneous balance", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn", "source_kind": "review_finding", "source_path": "evidence/section_09_evidence_package.json", "source_refs": [ "paper:paper-d2118dd5013a" ], "source_span": "We also demonstrate that while detection rates increase with increasing stimulation, the surrounding network responds with matched suppression which maintains the balance of activation and suppression at a level consistent with spontaneous epochs.", "study_system": "Mouse V1 L2/3, awake behaving; two-photon holographic optogenetics + two-photon calcium imaging", "evidence_refs": [ { "ref": "paper:paper-d2118dd5013a" } ], "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation", "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" }, "evidence_summary": "Two-photon holographic photoactivation of 1–200 mouse V1 L2/3 pyramidal cells during a behavioral detection task with simultaneous two-photon imaging of network responses.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "within_lab", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }