Recurrent neural networks reconstructed from ALM activity revealed that PPC-ALM…

{
  "n": null,
  "doi": "10.1038/s41467-023-42609-4",
  "claim": "[mouse] Recurrent neural networks reconstructed from ALM activity revealed that PPC-ALM interactions rendered choice-related attractor dynamics more stable.",
  "cite_key": "Chia2023",
  "evidence": "Learning of adaptive behaviors requires the refinement of coordinated activity across multiple brain regions. However, how neural communications develop during learning remains poorly understood. Here, using two-photon calcium imaging, we simultaneously recorded the activity of layer 2/3 excitatory neurons in eight regions of the mouse dorsal cortex during learning of a delayed-response task. Across learning, while global functional connectivity became sparser, there emerged a subnetwork compris...",
  "effect_size": "By projecting the population activity of ALM units onto the choice axis, we determined the frequency of decision switching in response to perturbation, presented for 500 ms after the offset of the stimulus (Fig.).",
  "text_access": "fulltext",
  "study_system": "mouse; motor cortex, ALM; two-photon imaging; Nature communications",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Recurrent neural networks reconstructed from ALM activity revealed that PPC-ALM interactions rendered choice-related attractor dynamics more stable.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "claim_rewritten_from_source": true,
  "effect_size_source_sentence": "By projecting the population activity of ALM units onto the choice axis, we determined the frequency of decision switching in response to perturbation, presented for 500 ms after the offset of the stimulus (Fig.)."
}

[
  "paper:paper-bae53117d1d4"
]

[
  {
    "ref": "paper:paper-bae53117d1d4"
  }
]

{
  "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"
}

Learning of adaptive behaviors requires the refinement of coordinated activity across multiple brain regions. However, how neural communications develop during learning remains poorly understood. Here, using two-photon calcium imaging, we simultaneously recorded the activity of layer 2/3 excitatory neurons in eight regions of the mouse dorsal cortex during learning of a delayed-response task. Across learning, while global functional connectivity became sparser, there emerged a subnetwork compris...