Details

scope
Macaque cortex; consistent retrograde tracing across hemisphere; analyzed interareal weights and distances
section_id
section_08
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json
effect_size
~66%
review_repo
ComputationalReviewLoops
section_ref
wiki_page:computationalreviewloops-08
source_kind
review_finding
source_path
evidence/section_08_evidence_package.json
source_span
Connection weights exhibit a heavy-tailed lognormal distribution spanning five orders of magnitude and conform to a distance rule reflecting exponential decay with interareal separation.
study_system
Macaque cortex; consistent retrograde tracing across hemisphere; analyzed interareal weights and distances
section_title
Cortical Association Connectome: Intra-Cortical Loops and Modules
review_bundle_ref
analysis_bundle:ab-d49e54403ef9
replication_status
replication_unknown
review_package_ref
analysis_bundle:ab-d49e54403ef9
source_artifact_ref
wiki_page:computationalreviewloops-08
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json
commit_sha
0632aae8abc141909207fe91f6349b9e36489c3b
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (6)
claim_text
Macaque interareal cortical network is dense (~66%) with structural specificity, weights span ~5 orders of magnitude in a heavy-tailed lognormal distribution, and connection probability/strength decays exponentially with interareal distance.
raw_fields
{
  "n": 0,
  "doi": "10.1016/j.neuron.2013.07.036",
  "claim": "Macaque interareal cortical network is dense (~66%) with structural specificity, weights span ~5 orders of magnitude in a heavy-tailed lognormal distribution, and connection probability/strength decays exponentially with interareal distance.",
  "cite_key": "Ercsey2013",
  "evidence": "Macaque interareal cortical network is dense (~66%) with structural specificity, weights span ~5 orders of magnitude in a heavy-tailed lognormal distribution, and connection probability/strength decays exponentially with interareal distance.",
  "effect_size": "~66%",
  "text_access": "fulltext",
  "study_system": "Macaque cortex; consistent retrograde tracing across hemisphere; analyzed interareal weights and distances",
  "source_cluster_id": "cluster_07",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "Connection weights exhibit a heavy-tailed lognormal distribution spanning five orders of magnitude and conform to a distance rule reflecting exponential decay with interareal separation.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "Macaque interareal cortical network is dense (~66%) with structural specificity, weights span ~5 orders of magnitude in a heavy-tailed lognormal distribution, and connection probability/strength decays exponentially with interareal distance."
}
source_refs
[
  "paper:paper-d9654471e6bd"
]
evidence_refs
[
  {
    "ref": "paper:paper-d9654471e6bd"
  }
]
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": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}
evidence_summary
Macaque interareal cortical network is dense (~66%) with structural specificity, weights span ~5 orders of magnitude in a heavy-tailed lognormal distribution, and connection probability/strength decays exponentially with interareal distance.

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