- 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"
}