Details

scope
mouse; motor cortex, ALM; computational model; bioRxiv : the preprint server for biology
claim_text
Applied to electrophysiological recordings from the anterior lateral motor cortex (ALM) and motor thalamus in mice performing a delayed response task, our model demonstrates that perturbations of res…
section_id
section_09
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-09-amplification-isn
source_kind
review_finding
source_path
evidence/section_09_evidence_package.json
study_system
mouse; motor cortex, ALM; computational model; bioRxiv : the preprint server for biology
section_title
9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single_study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-09-amplification-isn
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (7)
raw_fields
{
  "n": null,
  "doi": "10.1101/2025.11.20.689599",
  "claim": "Applied to electrophysiological recordings from the anterior lateral motor cortex (ALM) and motor thalamus in mice performing a delayed response task, our model demonstrates that perturbations of res…",
  "cite_key": "PereiraObilinovic2025",
  "evidence": "Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choices, yielding low-dimensional, task-aligned neural activity subspaces (\"coding dimensions\"). However, whether these dimensions actively drive decisions or merely reflect underlying computations remains unclear. Moreover, neural activity outside these coding subspaces (\"residual dimensions\") is often i...",
  "effect_size": "Adding these dimensions yielded only a modest increase in explained variance, from 90% to 97% as the total dimensionality increased from 3 to 12 (), but this small variance gain was accompanied by a substantial improvement in alignment with the empirical task axes (and).",
  "text_access": "fulltext",
  "study_system": "mouse; motor cortex, ALM; computational model; bioRxiv : the preprint server for biology",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Applied to electrophysiological recordings from the anterior lateral motor cortex (ALM) and motor thalamus in mice performing a delayed response task, our model demonstrates that perturbations of residual dimensions reliably alter behavioral choices, whereas perturbations of the choice dimension, which strongly encodes the animal's upcoming decision, are largely ineffective.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "claim_rewritten_from_source": true,
  "effect_size_source_sentence": "Adding these dimensions yielded only a modest increase in explained variance, from 90% to 97% as the total dimensionality increased from 3 to 12 (), but this small variance gain was accompanied by a substantial improvement in alignment with the empirical task axes (and)."
}
effect_size
Adding these dimensions yielded only a modest increase in explained variance, from 90% to 97% as the total dimensionality increased from 3 to 12 (), but this small variance gain was accompanied by a substantial improvement in alignment with the empirical task axes (and).
source_refs
[
  "paper:1fb5c98a-58de-4c04-8245-dec7bc6fa359"
]
source_span
Applied to electrophysiological recordings from the anterior lateral motor cortex (ALM) and motor thalamus in mice performing a delayed response task, our model demonstrates that perturbations of residual dimensions reliably alter behavioral choices, whereas perturbations of the choice dimension, which strongly encodes the animal's upcoming decision, are largely ineffective.
evidence_refs
[
  {
    "ref": "paper:1fb5c98a-58de-4c04-8245-dec7bc6fa359"
  }
]
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
Most behaviors involve neural dynamics in high-dimensional activity spaces. A common approach is to extract dimensions that capture task-related variability, such as those separating stimuli or choices, yielding low-dimensional, task-aligned neural activity subspaces ("coding dimensions"). However, whether these dimensions actively drive decisions or merely reflect underlying computations remains unclear. Moreover, neural activity outside these coding subspaces ("residual dimensions") is often i...

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