Details

scope
Mouse neocortex
claim_text
Theory of neuronal perturbome in cortical networks
section_id
section_06
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_06_evidence_package.json
effect_size
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-06-connectomic-micons
source_kind
review_finding
source_path
evidence/section_06_evidence_package.json
source_span
To unravel the functional properties of the brain, we need to untangle how neurons interact with each other and coordinate in large-scale recurrent networks.
study_system
Mouse neocortex
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
Abstract of Proc Natl Acad Sci U S A 2020 paper (PMID 33055215).
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 (4)
raw_fields
{
  "n": "n_unknown",
  "doi": "10.1073/pnas.2004568117",
  "claim": "Theory of neuronal perturbome in cortical networks",
  "cite_key": "Sadeh2020a",
  "evidence": "Abstract of Proc Natl Acad Sci U S A 2020 paper (PMID 33055215).",
  "effect_size": "",
  "text_access": "abstract_only",
  "study_system": "Mouse neocortex",
  "argument_role": "supporting",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "To unravel the functional properties of the brain, we need to untangle how neurons interact with each other and coordinate in large-scale recurrent networks.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": ""
}
source_refs
[
  "paper:paper-dc0786d96e71"
]
evidence_refs
[
  {
    "ref": "paper:paper-dc0786d96e71"
  }
]
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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