Details

scope
Mouse V1, MAPseq barcoded single-neuron projection mapping
section_id
section_15
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
effect_size
591 single neurons; ≥18 target cortical/subcortical areas; dominant mode is multi-target
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-15-methods-limits
source_kind
review_finding
source_path
evidence/section_15_evidence_package.json
study_system
Mouse V1, MAPseq barcoded single-neuron projection mapping
evidence_summary
591 V1 neurons traced; ≥18 target areas; non-random multi-area combinations.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single-study
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
Raw fields (7)
claim_text
MAPseq barcoded axonal tracing of 591 individual mouse V1 neurons showed that single intracortical projection neurons targeted at least 18 cortical and subcortical areas, mostly in non-random multi-area combinations — directly refuting one-neuron-one-target models of mouse-cortex E→E information transfer.
raw_fields
{
  "n": 591,
  "doi": "10.1038/nature26159",
  "claim": "MAPseq barcoded axonal tracing of 591 individual mouse V1 neurons showed that single intracortical projection neurons targeted at least 18 cortical and subcortical areas, mostly in non-random multi-area combinations — directly refuting one-neuron-one-target models of mouse-cortex E→E information transfer.",
  "cite_key": "Han2018",
  "evidence": "591 V1 neurons traced; ≥18 target areas; non-random multi-area combinations.",
  "effect_size": "591 single neurons; ≥18 target cortical/subcortical areas; dominant mode is multi-target",
  "text_access": "abstract_only",
  "study_system": "Mouse V1, MAPseq barcoded single-neuron projection mapping",
  "argument_role": "supporting",
  "replication_status": "single-study",
  "claim_source_sentence": "Here we determine the projection patterns of 591 individual neurons in the mouse primary visual cortex using whole-brain fluorescence-based axonal tracing and high-throughput DNA sequencing of genetically barcoded neurons (MAPseq). Projections were highly diverse and divergent, collectively targeting at least 18 cortical and subcortical areas.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "Most neurons targeted multiple cortical areas, often in non-random combinations, suggesting that sub-classes of intracortical projection neurons exist."
}
source_refs
[
  "paper:paper-236d0f50c2dd"
]
source_span
Here we determine the projection patterns of 591 individual neurons in the mouse primary visual cortex using whole-brain fluorescence-based axonal tracing and high-throughput DNA sequencing of genetically barcoded neurons (MAPseq). Projections were highly diverse and divergent, collectively targeting at least 18 cortical and subcortical areas.
evidence_refs
[
  {
    "ref": "paper:paper-236d0f50c2dd"
  }
]
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"
}

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