Version history

{
  "scope": "Awake mouse, multi-structure extracellular recording",
  "claim_text": "The original Neuropixels probe integrates 384 simultaneously recorded channels addressing 960 sites on a single 10-mm shank, and two such probes recorded >700 well-isolated single neurons across five brain structures simultaneously in awake mouse — anchoring the present-day baseline for multi-area extracellular recording in mouse cortex.",
  "raw_fields": {
    "n": 700,
    "doi": "10.1038/nature24636",
    "claim": "The original Neuropixels probe integrates 384 simultaneously recorded channels addressing 960 sites on a single 10-mm shank, and two such probes recorded >700 well-isolated single neurons across five brain structures simultaneously in awake mouse — anchoring the present-day baseline for multi-area extracellular recording in mouse cortex.",
    "cite_key": "Jun2017",
    "evidence": "Original Neuropixels probe architecture; two-probe demonstration recorded >700 single units across 5 awake-mouse brain structures simultaneously.",
    "effect_size": ">700 well-isolated single neurons recorded simultaneously from 5 brain structures with two probes",
    "text_access": "abstract_only",
    "study_system": "Awake mouse, multi-structure extracellular recording",
    "argument_role": "supporting",
    "replication_status": "single-platform",
    "claim_source_sentence": "Each probe has 384 recording channels that can programmably address 960 complementary metal-oxide-semiconductor (CMOS) processing-compatible low-impedance TiN sites that tile a single 10-mm long, 70 × 20-μm cross-section shank.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Using two probes, more than 700 well-isolated single neurons were recorded simultaneously from five brain structures in an awake mouse."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": ">700 well-isolated single neurons recorded simultaneously from 5 brain structures with two probes",
  "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:6f999156-d57b-49f0-a236-2c549c1190d6"
  ],
  "source_span": "Each probe has 384 recording channels that can programmably address 960 complementary metal-oxide-semiconductor (CMOS) processing-compatible low-impedance TiN sites that tile a single 10-mm long, 70 × 20-μm cross-section shank.",
  "study_system": "Awake mouse, multi-structure extracellular recording",
  "evidence_refs": [
    {
      "ref": "paper:6f999156-d57b-49f0-a236-2c549c1190d6"
    }
  ],
  "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": "Original Neuropixels probe architecture; two-probe demonstration recorded >700 single units across 5 awake-mouse brain structures simultaneously.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-platform",
  "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"
}