Details

scope
Mouse V1 (visual cortex)
section_id
section_06
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
effect_size
Two-subfield receptive-field decomposition (qualitative)
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-06-connectomic-micons
source_kind
review_finding
source_path
evidence/section_06_evidence_package.json
study_system
Mouse V1 (visual cortex)
section_title
6. Connectomic resolution — MICrONS mouse V1/HVA millimetre-scale EM volume; pyramidal-pyramidal wiring statistics derived from it; reconciliation with paired-recording estimates
evidence_summary
Closed-loop generation of VEIs from MICrONS foundation model and validation against neuronal recordings.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
replication_unknown
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-06-connectomic-micons
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
claim_text
MICrONS-derived foundation-model analysis identifies a novel bipartite invariance in mouse V1 receptive fields, in which a 'variable' subfield responds to a preferred texture across crops and a 'fixed' subfield responds only to a particular pattern.
raw_fields
{
  "n": 1,
  "doi": "10.1038/s41593-026-02213-3",
  "claim": "MICrONS-derived foundation-model analysis identifies a novel bipartite invariance in mouse V1 receptive fields, in which a 'variable' subfield responds to a preferred texture across crops and a 'fixed' subfield responds only to a particular pattern.",
  "cite_key": "Ding2026a",
  "evidence": "Closed-loop generation of VEIs from MICrONS foundation model and validation against neuronal recordings.",
  "effect_size": "Two-subfield receptive-field decomposition (qualitative)",
  "text_access": "fulltext",
  "study_system": "Mouse V1 (visual cortex)",
  "argument_role": "supporting",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "These VEIs partition the receptive field (RF) into two distinct, nonoverlapping subfields: a variable subfield that responds robustly to different crops from a preferred texture and a fixed subfield that responds strongly only to a particular spatial pattern.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-3d840e4fd22c"
]
source_span
These VEIs partition the receptive field (RF) into two distinct, nonoverlapping subfields: a variable subfield that responds robustly to different crops from a preferred texture and a fixed subfield that responds strongly only to a particular spatial pattern.
evidence_refs
[
  {
    "ref": "paper:paper-3d840e4fd22c"
  }
]
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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