In an oddball paradigm, mouse V1 deviance detection emerges in supragranular la…

In an oddball paradigm, mouse V1 deviance detection emerges in supragranular layers (L2/3) with a 150–230 ms latency, after basic adaptation in L4 (~50 ms) — matching predictive coding's separation of feedforward error and feedback prediction streams.

{
  "n": null,
  "doi": "10.1093/cercor/bhad215",
  "claim": "In an oddball paradigm, mouse V1 deviance detection emerges in supragranular layers (L2/3) with a 150–230 ms latency, after basic adaptation in L4 (~50 ms) — matching predictive coding's separation of feedforward error and feedback prediction streams.",
  "cite_key": "Gallimore2023a",
  "evidence": "16-channel LFP + multiunit recordings across V1 layers in awake mice during a visual oddball; spectral signatures (delta/theta and high-gamma increase in L2/3, beta decrease in L1).",
  "effect_size": "DD signal: 150-230 ms in L2/3; adaptation in L4 at 50 ms; spectral shifts in delta/theta (2-7 Hz), high-gamma (70-80 Hz), beta (26-36 Hz)",
  "text_access": "abstract_only",
  "study_system": "Awake mouse V1 LFP and multiunit recordings during visual oddball",
  "argument_role": "supporting",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "Multiunit activity and current source density profiles showed that although basic adaptation to redundant stimuli was present early (50 ms) in layer 4 responses, DD emerged later (150-230 ms) in supragranular layers (L2/3).",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1016/j.celrep.2016.06.037",
    "10.1093/cercor/bhad163"
  ],
  "effect_size_source_sentence": "This DD signal coincided with increased delta/theta (2-7 Hz) and high-gamma (70-80 Hz) oscillations in L2/3 and decreased beta oscillations (26-36 Hz) in L1."
}

[
  "paper:paper-c0f0ae0b432b"
]

[
  {
    "ref": "paper:paper-c0f0ae0b432b"
  }
]

{
  "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"
}