Neural rhythms are not necessarily intrinsic properties of cortical circuits, b…

{
  "n": null,
  "doi": "10.3389/fncom.2025.1568143",
  "claim": "Neural rhythms are not necessarily intrinsic properties of cortical circuits, but rather they may arise from structural changes elicited by learning-related mechanisms.",
  "cite_key": "Moreni2025b",
  "evidence": "Neural rhythms are ubiquitous in cortical recordings, but it is unclear whether they emerge due to the basic structure of cortical microcircuits or depend on function. Using detailed electrophysiological and anatomical data of mouse V1, we explored this question by building a spiking network model of a cortical column incorporating pyramidal cells, PV, SST, and VIP inhibitory interneurons, and dynamics for AMPA, GABA, and NMDA receptors. The resulting model matchedcell-type-specific firing rates...",
  "effect_size": "Percentage (%)\n\nPV\n\nSST\n\nVIP\n\nL2/3\n\n0.295918\n\n0.214286\n\n0.489796\n\nL4\n\n0.552381\n\n0.295238\n\n0.152381\n\nL5\n\n0.485714\n\n0.428571\n\n0.085714\n\nL6\n\n0.458333\n\n0.458333\n\n0.083333\n\nIn each layer, the inhibitory cells represent 15% of the total number of neurons for that layer.",
  "text_access": "fulltext",
  "study_system": "mouse; V1; computational model, spiking network model; Frontiers in computational neuroscience",
  "argument_role": "supporting",
  "replication_status": "single_study",
  "claim_source_sentence": "Our results suggest that neural rhythms are not necessarily intrinsic properties of cortical circuits, but rather they may arise from structural changes elicited by learning-related mechanisms.",
  "source_provenance_status": "ok",
  "replication_evidence_dois": [],
  "claim_rewritten_from_source": true,
  "effect_size_source_sentence": "Percentage (%)\n\nPV\n\nSST\n\nVIP\n\nL2/3\n\n0.295918\n\n0.214286\n\n0.489796\n\nL4\n\n0.552381\n\n0.295238\n\n0.152381\n\nL5\n\n0.485714\n\n0.428571\n\n0.085714\n\nL6\n\n0.458333\n\n0.458333\n\n0.083333\n\nIn each layer, the inhibitory cells represent 15% of the total number of neurons for that layer."
}

Percentage (%)

PV

SST

VIP

L2/3

0.295918

0.214286

0.489796

L4

0.552381

0.295238

0.152381

L5

0.485714

0.428571

0.085714

L6

0.458333

0.458333

0.083333

In each layer, the inhibitory cells represent 15% of the total number of neurons for that layer.

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  "paper:paper-b58ecaabd35b"
]

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  }
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Neural rhythms are ubiquitous in cortical recordings, but it is unclear whether they emerge due to the basic structure of cortical microcircuits or depend on function. Using detailed electrophysiological and anatomical data of mouse V1, we explored this question by building a spiking network model of a cortical column incorporating pyramidal cells, PV, SST, and VIP inhibitory interneurons, and dynamics for AMPA, GABA, and NMDA receptors. The resulting model matchedcell-type-specific firing rates...