- raw_fields
{
"n": 0,
"doi": "10.1038/s41467-021-22856-z",
"claim": "Cellular-resolution connectomic data can distinguish local cortical circuit models with >90% accuracy, and mapping only 10% of the local connectome suffices for model selection",
"evidence": "Approximate Bayesian model selection on simulated connectome data for L4 mouse S1",
"effect_size": ">90% accuracy; 10% of connectome sufficient",
"text_access": "fulltext",
"study_system": "layer 4 mouse primary somatosensory cortex, computational connectome analysis",
"replication_status": "replication_unknown",
"claim_source_sentence": "We find that the distinction of the investigated local cortical models is faithfully possible based on purely structural connectomic data with an accuracy of more than 90%, and that such distinction is stable against substantial errors in the connectome measurement.",
"replication_evidence_dois": [],
"effect_size_source_sentence": "Furthermore, mapping a fraction of only 10% of the local connectome is sufficient for connectome-based model distinction under realistic experimental constraints."
}- source_refs
[
"paper:paper-1cf664621a30"
]
- source_span
We find that the distinction of the investigated local cortical models is faithfully possible based on purely structural connectomic data with an accuracy of more than 90%, and that such distinction is stable against substantial errors in the connectome measurement.
- evidence_refs
[
{
"ref": "paper:paper-1cf664621a30"
}
]- 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": "df9fc7e8d455b084152c9d713558dae0013cef21",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}