Details
- scope
- vip-interneurons
- section_id
- section_08
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_08_evidence_package.json
- effect_size
- Locomotion required scaling of synaptic weights to reproduce VIP/SST stimulus-dependent responses.
- review_repo
- ComputationalReviewVIP
- section_ref
- wiki_page:computationalreviewvip-08-in-vivo-behavior
- source_kind
- review_finding
- source_path
- evidence/section_08_evidence_package.json
- source_span
- The disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.
- section_title
- In Vivo Function During Behavior
- evidence_summary
- Two-photon Ca2+ imaging of all four cell classes (Pyr/SST/VIP/PV) + recurrent network model.
- review_bundle_ref
- analysis_bundle:ab-2ce40c33e827
- replication_status
- single_study
- review_package_ref
- analysis_bundle:ab-2ce40c33e827
- source_artifact_ref
- wiki_page:computationalreviewvip-08-in-vivo-behavior
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_08_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
A recurrent network model of mouse V1 captures the locomotion-driven gain change only when locomotion increases feedforward synaptic weights and modulates recurrent weights between VIP/SST/PV/Pyr; pure disinhibition fails when visual stimuli are present.
- raw_fields
{ "n": null, "doi": "10.1016/j.neuron.2018.03.037", "year": "2018", "claim": "A recurrent network model of mouse V1 captures the locomotion-driven gain change only when locomotion increases feedforward synaptic weights and modulates recurrent weights between VIP/SST/PV/Pyr; pure disinhibition fails when visual stimuli are present.", "title": "Vision and Locomotion Shape the Interactions between Neuron Types in Mouse Visual Cortex", "journal": "", "species": "mouse", "cite_key": "Dipoppa2018", "evidence": "Two-photon Ca2+ imaging of all four cell classes (Pyr/SST/VIP/PV) + recurrent network model.", "effect_size": "Locomotion required scaling of synaptic weights to reproduce VIP/SST stimulus-dependent responses.", "text_access": "fulltext", "_source_cluster": "cluster_13_neuromodulation", "replication_status": "single_study", "_source_cluster_index": 24, "claim_source_sentence": "The disinhibitory model failed when visual stimuli were present: locomotion increased Sst cell responses to large stimuli and Vip cell responses to small stimuli.", "replication_evidence_dois": [], "effect_size_source_sentence": "Capturing the effects of locomotion, however, required allowing it to increase feedforward synaptic weights and modulate recurrent weights." }- source_refs
[ "paper:paper-f457e091013f" ]
- evidence_refs
[ { "ref": "paper:paper-f457e091013f" } ]- 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" }