Details

scope
mouse cortex (see paper for region/cell-type detail)
claim_text
Expectation violations produce error signals in mouse V1. Finally, we show that spiking data can be used to accurately decode time within the sequence.
section_id
section_11
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-11-pattern-completion
source_kind
review_finding
source_path
evidence/section_11_evidence_package.json
source_span
Finally, we show that spiking data can be used to accurately decode time within the sequence.
study_system
mouse cortex (see paper for region/cell-type detail)
section_title
11. Physiological signature III — pattern completion, replay, and sequence generation as recurrent-circuit read-outs in mouse cortex
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single_study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-11-pattern-completion
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (5)
raw_fields
{
  "n": null,
  "doi": "10.1093/cercor/bhad163",
  "claim": "Expectation violations produce error signals in mouse V1. Finally, we show that spiking data can be used to accurately decode time within the sequence.",
  "cite_key": "Price2023",
  "evidence": "Expectation violations produce error signals in mouse V1. — Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modu",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "mouse cortex (see paper for region/cell-type detail)",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Finally, we show that spiking data can be used to accurately decode time within the sequence.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-d6acd7459360"
]
evidence_refs
[
  {
    "ref": "paper:paper-d6acd7459360"
  }
]
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"
}
evidence_summary
Expectation violations produce error signals in mouse V1. — Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modu

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