Details
- scope
- rat cortex
- claim_text
- Right lateral prefrontal cortex (PFC) activation is sensitive to the magnitude of prediction error.
- section_id
- section_14
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
- review_repo
- ComputationalReviewRecurrence
- section_ref
- wiki_page:computationalreviewrecurrence-14-predictive-coding
- source_kind
- review_finding
- source_path
- evidence/section_14_evidence_package.json
- source_span
- We show that right lateral prefrontal cortex (PFC) activation is sensitive to the magnitude of prediction error.
- study_system
- rat cortex
- section_title
- 14. Predictive-coding and dynamical-systems accounts — the role of recurrent excitatory feedback in error signalling, state estimation, and reservoir computing, evaluated against mouse data
- evidence_summary
- Cerebral cortex (New York, N.Y. : 1991) 2004; PMID 15054060. The role of the lateral frontal cortex in causal associative learning: exploring preventative and super-learning.
- review_bundle_ref
- analysis_bundle:ab-d9c479db9be9
- replication_status
- convergent_evidence_across_studies
- review_package_ref
- analysis_bundle:ab-d9c479db9be9
- source_artifact_ref
- wiki_page:computationalreviewrecurrence-14-predictive-coding
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
- commit_sha
- 79ce062d54a924ce05953ec90aa9d26044d2b48f
- created_by
- persona-jerome-lecoq-gbo-neuroscience
- repository_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (4)
- raw_fields
{ "n": 0, "doi": "10.1093/cercor/bhh046", "claim": "Right lateral prefrontal cortex (PFC) activation is sensitive to the magnitude of prediction error.", "cite_key": "Turner2004", "evidence": "Cerebral cortex (New York, N.Y. : 1991) 2004; PMID 15054060. The role of the lateral frontal cortex in causal associative learning: exploring preventative and super-learning.", "effect_size": null, "text_access": "abstract_only", "study_system": "rat cortex", "argument_role": "supporting", "replication_status": "convergent_evidence_across_studies", "claim_source_sentence": "We show that right lateral prefrontal cortex (PFC) activation is sensitive to the magnitude of prediction error.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [ "10.7554/elife.73289", "10.1101/2023.06.02.543483", "10.1016/j.neuron.2012.03.040" ], "claim_rewritten_from_source": true, "effect_size_source_sentence": null }- source_refs
[ "paper:paper-07a1743a83b5" ]
- evidence_refs
[ { "ref": "paper:paper-07a1743a83b5" } ]- 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": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }