Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
3b0c464737fbContent snapshot
{ "scope": "Mouse V1, anesthetized; 2P holographic optogenetics + whole-cell recording + compressive sensing", "claim_text": "High-throughput two-photon holographic optogenetic mapping of E→E connectivity in mouse V1 reveals synaptic pair identities and strengths across ~100 potential presynaptic neurons in ~5 min, supporting quantitative characterization of cortical recurrent excitatory connectivity in vivo.", "raw_fields": { "n": 0, "doi": "10.1038/s41593-025-02024-y", "claim": "High-throughput two-photon holographic optogenetic mapping of E→E connectivity in mouse V1 reveals synaptic pair identities and strengths across ~100 potential presynaptic neurons in ~5 min, supporting quantitative characterization of cortical recurrent excitatory connectivity in vivo.", "cite_key": "Chen2025b", "evidence": "Combined two-photon holographic single-cell optogenetic stimulation, whole-cell patch-clamp postsynaptic recording, and compressive-sensing reconstruction in anesthetized mouse V1.", "effect_size": "up to 100 presynaptic candidates probed per 5 min; up to threefold reduction in measurements via compressive sensing", "text_access": "abstract_only", "study_system": "Mouse V1, anesthetized; 2P holographic optogenetics + whole-cell recording + compressive sensing", "argument_role": "supporting", "replication_status": "within_lab", "claim_source_sentence": "Under sequential single-cell stimulation, the method enables rapid probing of connectivity across up to 100 potential presynaptic cells within ~5 min in the visual cortex of anesthetized mice, identifying synaptic pairs along with their strength and spatial distribution.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": "Under sequential single-cell stimulation, the method enables rapid probing of connectivity across up to 100 potential presynaptic cells within ~5 min in the visual cortex of anesthetized mice, identifying synaptic pairs along with their strength and spatial distribution." }, "section_id": "section_09", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json", "effect_size": "up to 100 presynaptic candidates probed per 5 min; up to threefold reduction in measurements via compressive sensing", "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-218c7dbe65b1" ], "source_span": "Under sequential single-cell stimulation, the method enables rapid probing of connectivity across up to 100 potential presynaptic cells within ~5 min in the visual cortex of anesthetized mice, identifying synaptic pairs along with their strength and spatial distribution.", "study_system": "Mouse V1, anesthetized; 2P holographic optogenetics + whole-cell recording + compressive sensing", "evidence_refs": [ { "ref": "paper:paper-218c7dbe65b1" } ], "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": "Combined two-photon holographic single-cell optogenetic stimulation, whole-cell patch-clamp postsynaptic recording, and compressive-sensing reconstruction in anesthetized mouse V1.", "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" }