Details

scope
theoretical recurrent E-I network with PV/SST/VIP
section_id
section_02
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_evidence_package.json
review_repo
ComputationalReviewVIP
section_ref
wiki_page:computationalreviewvip-02-classification
source_kind
review_finding
source_path
evidence/section_02_evidence_package.json
study_system
theoretical recurrent E-I network with PV/SST/VIP
section_title
Molecular Identity and Transcriptomic Taxonomy
evidence_summary
Theoretical/network modeling of multi-IN cortical circuits constrained by mouse V1 connectivity data.
review_bundle_ref
analysis_bundle:ab-2ce40c33e827
replication_status
single_study
review_package_ref
analysis_bundle:ab-2ce40c33e827
source_artifact_ref
wiki_page:computationalreviewvip-02-classification
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewVIP/blob/95e761177f7d2ec565983d3307c14ec238f9677c/evidence/section_02_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
A recurrent excitatory-inhibitory model with PV, SST and VIP interneurons (connectivity from mouse V1 recordings) shows that disinhibition, surround suppression, and subtractive vs divisive gain modulation of orientation tuning each impose distinct architectural and stimulus-tuning constraints — recurrent inhibitory dynamics must be modeled with multiple IN classes to reproduce experimental cortical phenomena.
raw_fields
{
  "n": null,
  "doi": "10.1152/jn.00732.2015",
  "claim": "A recurrent excitatory-inhibitory model with PV, SST and VIP interneurons (connectivity from mouse V1 recordings) shows that disinhibition, surround suppression, and subtractive vs divisive gain modulation of orientation tuning each impose distinct architectural and stimulus-tuning constraints — recurrent inhibitory dynamics must be modeled with multiple IN classes to reproduce experimental cortical phenomena.",
  "title": null,
  "cite_key": "Litwinkumar2016",
  "evidence": "Theoretical/network modeling of multi-IN cortical circuits constrained by mouse V1 connectivity data.",
  "effect_size": null,
  "text_access": "abstract_only",
  "study_system": "theoretical recurrent E-I network with PV/SST/VIP",
  "target_section": "section_05",
  "_source_cluster": "cluster_01_molecular_taxonomy",
  "replication_status": "single_study",
  "_source_cluster_index": 73,
  "claim_source_sentence": "We study the dynamics of recurrent excitatory-inhibitory model cortical networks with parvalbumin (PV)-, somatostatin (SOM)-, and vasointestinal peptide-expressing (VIP) interneurons, with connectivity properties motivated by experimental recordings from mouse primary visual cortex."
}
source_refs
[
  "paper:paper-8f25714ab7fe"
]
source_span
We study the dynamics of recurrent excitatory-inhibitory model cortical networks with parvalbumin (PV)-, somatostatin (SOM)-, and vasointestinal peptide-expressing (VIP) interneurons, with connectivity properties motivated by experimental recordings from mouse primary visual cortex.
evidence_refs
[
  {
    "ref": "paper:paper-8f25714ab7fe"
  }
]
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"
}

Voting as anonymous. Sign in to attribute your signals.

tokens

Replication

No replications yet

Discussion

Posting anonymously. Sign in for attribution.

No comments yet — be the first.