Details
- scope
- humans + computational model
- claim_text
- Wong–Wang–style biophysical attractor model reproduces stimulus-locked ramping and choice in recurrent cortical decision circuits. (Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain, 2018).
- section_id
- section_13
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_13_evidence_package.json
- review_repo
- ComputationalReviewLoops
- section_ref
- wiki_page:computationalreviewloops-13
- source_kind
- review_finding
- source_path
- evidence/section_13_evidence_package.json
- source_span
- Additional analyses demonstrated that individual optimization of the modeling parameters significantly contributed to the prediction of subjects’ FC (ANOVA F (3, 140) = 6.34, p = 0.0005; Fig. 2 ).
- study_system
- humans + computational model
- section_title
- Computational Models of Loop Function
- evidence_summary
- eNeuro (2018); EPMC abstract/fulltext.
- review_bundle_ref
- analysis_bundle:ab-d49e54403ef9
- replication_status
- replication_unknown
- review_package_ref
- analysis_bundle:ab-d49e54403ef9
- source_artifact_ref
- wiki_page:computationalreviewloops-13
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_13_evidence_package.json
- commit_sha
- 0632aae8abc141909207fe91f6349b9e36489c3b
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (4)
- raw_fields
{ "n": 0, "doi": "10.1523/eneuro.0083-18.2018", "claim": "Wong–Wang–style biophysical attractor model reproduces stimulus-locked ramping and choice in recurrent cortical decision circuits. (Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain, 2018).", "cite_key": "Aerts2018", "evidence": "eNeuro (2018); EPMC abstract/fulltext.", "effect_size": null, "text_access": "fulltext", "study_system": "humans + computational model", "source_cluster_id": "cluster_12", "replication_status": "replication_unknown", "claim_source_sentence": "Additional analyses demonstrated that individual optimization of the modeling parameters significantly contributed to the prediction of subjects’ FC (ANOVA F (3, 140) = 6.34, p = 0.0005; Fig. 2 ).", "replication_evidence_dois": [], "effect_size_source_sentence": null }- source_refs
[ "paper:paper-8769da0608b0" ]
- evidence_refs
[ { "ref": "paper:paper-8769da0608b0" } ]- 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": "0632aae8abc141909207fe91f6349b9e36489c3b", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops" }