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- Live5/17/2026, 4:35:28 PM
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{ "scope": "mouse barrel cortex in vivo, optogenetics", "claim_text": "Light-driven activation of fast-spiking interneurons at varied frequencies selectively amplifies gamma oscillations (8-200 Hz range tested), while pyramidal neuron activation amplifies only lower frequency oscillations - a cell-type-specific double dissociation", "raw_fields": { "n": 0, "doi": "10.1038/nature08002", "claim": "Light-driven activation of fast-spiking interneurons at varied frequencies selectively amplifies gamma oscillations (8-200 Hz range tested), while pyramidal neuron activation amplifies only lower frequency oscillations - a cell-type-specific double dissociation", "evidence": "Light-driven activation of fast-spiking interneurons at varied frequencies selectively amplifies gamma oscillations (8-200 Hz range tested), while pyramidal neuron activation amplifies only lower frequency oscillations - a cell-type-specific double dissociation", "effect_size": "Sensory input timing relative to gamma cycle determined amplitude and precision of evoked responses", "text_access": "fulltext", "study_system": "mouse barrel cortex in vivo, optogenetics", "replication_status": "independently_replicated", "claim_source_sentence": "Here we show that light-driven activation of fast-spiking interneurons at varied frequencies (8-200 Hz) selectively amplifies gamma oscillations. In contrast, pyramidal neuron activation amplifies only lower frequency oscillations, a cell-type-specific double dissociation.", "replication_evidence_dois": [ "10.1038/nature07991", "10.1016/j.neuron.2017.11.033" ], "effect_size_source_sentence": "We found that the timing of a sensory input relative to a gamma cycle determined the amplitude and precision of evoked responses." }, "section_id": "section_10_evidence_package", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_10_evidence_package.json", "effect_size": "Sensory input timing relative to gamma cycle determined amplitude and precision of evoked responses", "review_repo": "ComputationalReviewPV", "section_ref": "wiki_page:computationalreviewpv-10", "source_kind": "review_finding", "source_path": "evidence/section_10_evidence_package.json", "source_refs": [ "paper:3767f6c5-663b-42ad-bf68-d37f6f00b49d" ], "source_span": "Here we show that light-driven activation of fast-spiking interneurons at varied frequencies (8-200 Hz) selectively amplifies gamma oscillations. In contrast, pyramidal neuron activation amplifies only lower frequency oscillations, a cell-type-specific double dissociation.", "study_system": "mouse barrel cortex in vivo, optogenetics", "evidence_refs": [ { "ref": "paper:3767f6c5-663b-42ad-bf68-d37f6f00b49d" } ], "section_title": "Oscillations and Network Dynamics: Gamma, Ripples, and Synchrony", "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": "df9fc7e8d455b084152c9d713558dae0013cef21", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }, "evidence_summary": "Light-driven activation of fast-spiking interneurons at varied frequencies selectively amplifies gamma oscillations (8-200 Hz range tested), while pyramidal neuron activation amplifies only lower frequency oscillations - a cell-type-specific double dissociation", "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7", "replication_status": "independently_replicated", "review_package_ref": "analysis_bundle:ab-e6261c8263e7", "source_artifact_ref": "wiki_page:computationalreviewpv-10", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_10_evidence_package.json", "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV" }