Details
- scope
- computational model + behavioral fits
- claim_text
- The leaky competing accumulator (LCA) model captures perceptual and value-based choice dynamics by combining noise, leakage and lateral inhibition, providing a competitor to drift-diffusion models that better fits multi-alternative tasks.
- section_id
- section_13
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_13_evidence_package.json
- effect_size
- LCA produces tractable RT distributions and outperforms drift-diffusion in multi-alternative settings
- review_repo
- ComputationalReviewLoops
- section_ref
- wiki_page:computationalreviewloops-13
- source_kind
- review_finding
- source_path
- evidence/section_13_evidence_package.json
- source_span
- The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units.
- study_system
- computational model + behavioral fits
- section_title
- Computational Models of Loop Function
- evidence_summary
- Mathematical analysis and simulation of the LCA against behavioral RT distributions.
- review_bundle_ref
- analysis_bundle:ab-d49e54403ef9
- replication_status
- independently_replicated
- 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": "10.1037/0033-295x.108.3.550", "claim": "The leaky competing accumulator (LCA) model captures perceptual and value-based choice dynamics by combining noise, leakage and lateral inhibition, providing a competitor to drift-diffusion models that better fits multi-alternative tasks.", "cite_key": "Usher2001", "evidence": "Mathematical analysis and simulation of the LCA against behavioral RT distributions.", "effect_size": "LCA produces tractable RT distributions and outperforms drift-diffusion in multi-alternative settings", "text_access": "abstract_only", "study_system": "computational model + behavioral fits", "source_cluster_id": "cluster_12", "replication_status": "independently_replicated", "claim_source_sentence": "The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units.", "replication_evidence_dois": [ "10.1098/rstb.2013.0481", "10.1037/0033-295x.113.4.700" ], "effect_size_source_sentence": null }- source_refs
[ "paper:paper-0018e929a71c" ]
- evidence_refs
[ { "ref": "paper:paper-0018e929a71c" } ]- 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" }