Details

scope
Mouse V1 single-unit recordings during locomotion + drifting gratings
claim_text
Apparent visuomotor 'mismatch' signals in mouse V1 can be reproduced by purely sensory perturbations and are explained by feature selectivity rather than by a dedicated prediction-error channel.
section_id
section_14
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_14_evidence_package.json
effect_size
345 of 1,019 units increased firing on perturbation; 270 of 1,019 reduced firing
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 found that most neurons responded to the perturbation by increasing their firing rate (n = 345 of 1,019 versus 270 of 1,019 units that reduced responses; Figure 1 E).
study_system
Mouse V1 single-unit recordings during locomotion + drifting gratings
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
Mouse V1 recordings during running with drifting gratings that unexpectedly stop; perturbation responses are orientation-tuned (largest at neurons' preferred orientation) and enhanced by running.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
contested
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": 1019,
  "doi": "10.1016/j.celrep.2021.109772",
  "claim": "Apparent visuomotor 'mismatch' signals in mouse V1 can be reproduced by purely sensory perturbations and are explained by feature selectivity rather than by a dedicated prediction-error channel.",
  "cite_key": "Muzzu2021",
  "evidence": "Mouse V1 recordings during running with drifting gratings that unexpectedly stop; perturbation responses are orientation-tuned (largest at neurons' preferred orientation) and enhanced by running.",
  "effect_size": "345 of 1,019 units increased firing on perturbation; 270 of 1,019 reduced firing",
  "text_access": "fulltext",
  "study_system": "Mouse V1 single-unit recordings during locomotion + drifting gratings",
  "argument_role": "supporting",
  "replication_status": "contested",
  "claim_source_sentence": "We found that most neurons responded to the perturbation by increasing their firing rate (n = 345 of 1,019 versus 270 of 1,019 units that reduced responses; Figure 1 E).",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [
    "10.1016/j.neuron.2017.08.036",
    "10.1038/s41586-024-07851-w"
  ],
  "effect_size_source_sentence": "We found that most neurons responded to the perturbation by increasing their firing rate (n = 345 of 1,019 versus 270 of 1,019 units that reduced responses; Figure 1 E)."
}
source_refs
[
  "paper:paper-dbc169750608"
]
evidence_refs
[
  {
    "ref": "paper:paper-dbc169750608"
  }
]
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"
}

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