Version history

{
  "scope": "mouse cortex (see paper for region/cell-type detail)",
  "claim_text": "Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses. Here we employed a visual \"oddball\" sequence-a classic paradigm for studying aberrant DD/MMN in neuropsychiatric populations-and recorded local field potentials in V1 of awake mice with 16-channel mul",
  "raw_fields": {
    "n": null,
    "doi": "10.1093/cercor/bhad215",
    "claim": "Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses. Here we employed a visual \"oddball\" sequence-a classic paradigm for studying aberrant DD/MMN in neuropsychiatric populations-and recorded local field potentials in V1 of awake mice with 16-channel mul",
    "cite_key": "Gallimore2023a",
    "evidence": "Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses. — Context modulates neocortical processing of sensory data. Unexpected visual stimuli elicit large responses in primary visual cortex (V1)-a phenomenon known as deviance detection (DD) at the neural level, or \"mismatch negativity\" (MMN) when measured with EEG. It remains unclear how visual DD/MMN sign",
    "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": "Here we employed a visual \"oddball\" sequence-a classic paradigm for studying aberrant DD/MMN in neuropsychiatric populations-and recorded local field potentials in V1 of awake mice with 16-channel multielectrode arrays.",
    "source_provenance_status": "ok",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": null
  },
  "section_id": "section_11",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_11_evidence_package.json",
  "effect_size": null,
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-11-pattern-completion",
  "source_kind": "review_finding",
  "source_path": "evidence/section_11_evidence_package.json",
  "source_refs": [
    "paper:paper-c0f0ae0b432b"
  ],
  "source_span": "Here we employed a visual \"oddball\" sequence-a classic paradigm for studying aberrant DD/MMN in neuropsychiatric populations-and recorded local field potentials in V1 of awake mice with 16-channel multielectrode arrays.",
  "study_system": "mouse cortex (see paper for region/cell-type detail)",
  "evidence_refs": [
    {
      "ref": "paper:paper-c0f0ae0b432b"
    }
  ],
  "section_title": "11. Physiological signature III — pattern completion, replay, and sequence generation as recurrent-circuit read-outs in mouse cortex",
  "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": "Spatiotemporal dynamics across visual cortical laminae support a predictive coding framework for interpreting mismatch responses. — Context modulates neocortical processing of sensory data. Unexpected visual stimuli elicit large responses in primary visual cortex (V1)-a phenomenon known as deviance detection (DD) at the neural level, or \"mismatch negativity\" (MMN) when measured with EEG. It remains unclear how visual DD/MMN sign",
  "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"
}