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{
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"doi": "10.1177/1073858414540216",
"claim": "Digital reconstructions deposited in NeuroMorpho.Org enable complex quantitative analyses of axonal and dendritic morphology and facilitate computational modeling of biophysically realistic neuronal dynamics",
"evidence": "Digital reconstructions deposited in NeuroMorpho.Org enable complex quantitative analyses of axonal and dendritic morphology and facilitate computational modeling of biophysically realistic neuronal dynamics",
"effect_size": null,
"text_access": "fulltext",
"study_system": "multiple species, NeuroMorpho.Org database",
"replication_status": "independently_replicated",
"claim_source_sentence": "Digital reconstructions of neuronal morphologies allow for complex quantitative analyses that are unattainable from raw images or 2D tracings. Furthermore, digitized morphologies enable computational modeling of biophysically realistic neuronal dynamics.",
"replication_evidence_dois": [
"10.1371/journal.pcbi.1010058"
],
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}- source_refs
[
"paper:paper-481a45305634"
]
- source_span
Digital reconstructions of neuronal morphologies allow for complex quantitative analyses that are unattainable from raw images or 2D tracings. Furthermore, digitized morphologies enable computational modeling of biophysically realistic neuronal dynamics.
- evidence_refs
[
{
"ref": "paper:paper-481a45305634"
}
]- 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"
}