Details
- scope
- mammal neocortex
- section_id
- section_07
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_07_evidence_package.json
- effect_size
- 0.5 ms
- review_repo
- ComputationalReviewVIP
- section_ref
- wiki_page:computationalreviewvip-07-disinhibition-framework
- source_kind
- review_finding
- source_path
- evidence/section_07_evidence_package.json
- study_system
- mammal neocortex
- section_title
- Local Circuit Motifs and the Disinhibition Framework
- evidence_summary
- Learning-Related Plasticity in Dendrite-Targeting Layer 1 Interneurons
- review_bundle_ref
- analysis_bundle:ab-2ce40c33e827
- replication_status
- replication_unknown
- review_package_ref
- analysis_bundle:ab-2ce40c33e827
- source_artifact_ref
- wiki_page:computationalreviewvip-07-disinhibition-framework
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_07_evidence_package.json
- commit_sha
- 95e761177f7d2ec565983d3307c14ec238f9677c
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP
Raw fields (6)
- claim_text
In particular, compared to similar experiments on PV-, SST-, and VIP-INs in somatosensory cortex ( Wall et al., 2016 ), our results indicate that L1 NDNF-INs receive input from a larger range of brain areas encoding contextual, top-down information.
- raw_fields
{ "n": 10, "doi": "10.1016/j.neuron.2018.09.001", "year": "2018", "claim": "In particular, compared to similar experiments on PV-, SST-, and VIP-INs in somatosensory cortex ( Wall et al., 2016 ), our results indicate that L1 NDNF-INs receive input from a larger range of brain areas encoding contextual, top-down information.", "title": null, "journal": "Neuron", "cite_key": "Abs2018", "evidence": "Learning-Related Plasticity in Dendrite-Targeting Layer 1 Interneurons", "effect_size": "0.5 ms", "text_access": "fulltext", "first_author": "Abs", "study_system": "mammal neocortex", "_source_cluster": "cluster_06_disinhibition_circuit", "author_list_short": "Abs, Poorthuis, Apelblat", "replication_status": "replication_unknown", "_source_cluster_index": 14, "claim_source_sentence": "In particular, compared to similar experiments on PV-, SST-, and VIP-INs in somatosensory cortex ( Wall et al., 2016 ), our results indicate that L1 NDNF-INs receive input from a larger range of brain areas encoding contextual, top-down information.", "replication_evidence_dois": [], "effect_size_source_sentence": "The chosen irradiance (gray lines, 45 mW/mm 2 ) elicited 1.2 action potentials per pulse (0.5 ms, n = 10). (C) Average IPSCs in ChR-2 negative L1 INs (gray, n = 12), L2/3 PNs (black, n = 24), and L2/3 INs (red, n = 11). (D) Comparison of L1 NDNF-IN-mediated IPSCs in the different postsynaptic populations." }- source_refs
[ "paper:paper-cddfd665bb4c" ]
- source_span
In particular, compared to similar experiments on PV-, SST-, and VIP-INs in somatosensory cortex ( Wall et al., 2016 ), our results indicate that L1 NDNF-INs receive input from a larger range of brain areas encoding contextual, top-down information.
- evidence_refs
[ { "ref": "paper:paper-cddfd665bb4c" } ]- 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" }