Details
- scope
- mouse entorhinal cortex acute slices
- section_id
- section_05
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json
- effect_size
- 81.4% prediction accuracy from 5 intrinsic features
- review_repo
- ComputationalReviewVIP
- section_ref
- wiki_page:computationalreviewvip-05-electrophysiology
- source_kind
- review_finding
- source_path
- evidence/section_05_evidence_package.json
- source_span
- Finally, we reduced the complex multidimensional space of intrinsic properties to the most salient five that predicted the cellular biomolecular identity with 81.4% accuracy.
- study_system
- mouse entorhinal cortex acute slices
- section_title
- Intrinsic Electrophysiology
- evidence_summary
- mouse EC acute slices; whole-cell recordings of stellate, pyramidal, and 6 molecularly defined interneuron classes; hierarchical clustering
- review_bundle_ref
- analysis_bundle:ab-2ce40c33e827
- replication_status
- replicated
- review_package_ref
- analysis_bundle:ab-2ce40c33e827
- source_artifact_ref
- wiki_page:computationalreviewvip-05-electrophysiology
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_05_evidence_package.json
- commit_sha
- 95e761177f7d2ec565983d3307c14ec238f9677c
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (5)
- claim_text
In mouse entorhinal cortex, hierarchical clustering of intrinsic properties yields physiologically defined cell types that align with molecular identity (VIP, SST, 5HT3a-R, NPY-NGF, NPY-non-NGF, RCAN2), and five intrinsic features predict molecular identity with 81.4% accuracy.
- raw_fields
{ "n": null, "doi": "10.1093/cercor/bhw143", "claim": "In mouse entorhinal cortex, hierarchical clustering of intrinsic properties yields physiologically defined cell types that align with molecular identity (VIP, SST, 5HT3a-R, NPY-NGF, NPY-non-NGF, RCAN2), and five intrinsic features predict molecular identity with 81.4% accuracy.", "title": null, "cite_key": "Ferrante2016", "evidence": "mouse EC acute slices; whole-cell recordings of stellate, pyramidal, and 6 molecularly defined interneuron classes; hierarchical clustering", "effect_size": "81.4% prediction accuracy from 5 intrinsic features", "text_access": "abstract_only", "study_system": "mouse entorhinal cortex acute slices", "_source_cluster": "cluster_04_intrinsic_electrophysiology", "replication_status": "replicated", "_source_cluster_index": 4, "claim_source_sentence": "Finally, we reduced the complex multidimensional space of intrinsic properties to the most salient five that predicted the cellular biomolecular identity with 81.4% accuracy.", "replication_evidence_dois": [ "10.1126/science.adf6484", "10.1016/j.neuron.2021.08.030" ], "effect_size_source_sentence": "Finally, we reduced the complex multidimensional space of intrinsic properties to the most salient five that predicted the cellular biomolecular identity with 81.4% accuracy." }- source_refs
[ "paper:paper-2ac5acbd638e" ]
- evidence_refs
[ { "ref": "paper:paper-2ac5acbd638e" } ]- 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": "95e761177f7d2ec565983d3307c14ec238f9677c", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewVIP" }