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- Live5/17/2026, 4:35:28 PM
7ea9c4d65c1dContent snapshot
{ "scope": "Mouse and rat; Neuropixels 2.0 chronic recordings, six labs (two species)", "claim_text": "Neuropixels 2.0 probes enable chronic recording from the same mouse visual-cortex neurons for over two months by combining >5,000 sites, ~1 g weight including headstage, and post-hoc motion-stabilization algorithms.", "raw_fields": { "n": 0, "doi": "10.1101/2020.10.27.358291", "claim": "Neuropixels 2.0 probes enable chronic recording from the same mouse visual-cortex neurons for over two months by combining >5,000 sites, ~1 g weight including headstage, and post-hoc motion-stabilization algorithms.", "cite_key": "Steinmetz2020", "evidence": "Quantifies the present-day chronic-recording window achievable with the current generation of dense extracellular probes — a hard constraint cluster_14 must report.", "effect_size": ">5,000 sites per probe; two probes + headstage ~1 g; 768 sites recorded simultaneously; >10,000-site recordings during free behavior", "text_access": "abstract_only", "study_system": "Mouse and rat; Neuropixels 2.0 chronic recordings, six labs (two species)", "argument_role": "supporting", "replication_status": "replicated", "claim_source_sentence": "Improved site density and arrangement combined with new data processing methods enable automatic post-hoc stabilization of data despite brain movements during behavior and across days, allowing recording from the same neurons in the mouse visual cortex for over 2 months.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [ "10.1101/2024.04.25.591118" ], "effect_size_source_sentence": "The new probe has over 5,000 sites and is miniaturized such that two probes plus a headstage, recording 768 sites at once, weigh just over 1 g, suitable for implanting chronically in small mammals." }, "section_id": "section_15", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json", "effect_size": ">5,000 sites per probe; two probes + headstage ~1 g; 768 sites recorded simultaneously; >10,000-site recordings during free behavior", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits", "source_kind": "review_finding", "source_path": "evidence/section_15_evidence_package.json", "source_refs": [ "paper:272cb25f-50d5-4895-9bd2-9326ef951a25", "paper:paper-2c31ad7d8501" ], "source_span": "Improved site density and arrangement combined with new data processing methods enable automatic post-hoc stabilization of data despite brain movements during behavior and across days, allowing recording from the same neurons in the mouse visual cortex for over 2 months.", "study_system": "Mouse and rat; Neuropixels 2.0 chronic recordings, six labs (two species)", "evidence_refs": [ { "ref": "paper:272cb25f-50d5-4895-9bd2-9326ef951a25" }, { "ref": "paper:paper-2c31ad7d8501" } ], "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon", "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": "Quantifies the present-day chronic-recording window achievable with the current generation of dense extracellular probes — a hard constraint cluster_14 must report.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "replicated", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }