Biologically-constrained PFC-MD network models show that adding a feedforward M…

Biologically-constrained PFC-MD network models show that adding a feedforward MD module to a recurrent PFC increases robustness to low cue signal-to-noise, enhances working-memory persistence, and enables rapid context switching; incorporating genetically-identified thalamocortical projections and interneuron cell types reproduces key neurophysiological features in mice, providing a mechanistic and geometric account of MD-mediated regulation of cortical attractor stability for cognitive flexibility.

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  "n": 0,
  "doi": "10.1038/s41467-025-58011-1",
  "claim": "Biologically-constrained PFC-MD network models show that adding a feedforward MD module to a recurrent PFC increases robustness to low cue signal-to-noise, enhances working-memory persistence, and enables rapid context switching; incorporating genetically-identified thalamocortical projections and interneuron cell types reproduces key neurophysiological features in mice, providing a mechanistic and geometric account of MD-mediated regulation of cortical attractor stability for cognitive flexibility.",
  "cite_key": "Zhang2025c",
  "evidence": "Incorporating genetically identified thalamocortical connectivity and interneuron cell types into the model replicates key neurophysiological findings in task-performing animals. Our model reveals computational mechanisms and geometric interpretations of MD in regulating cue uncertainty and context switching to enable cognitive flexibility.",
  "effect_size": "",
  "text_access": "fulltext",
  "study_system": "mouse PFC-MD circuit; biologically-constrained spiking/rate network modeling fit against electrophysiology of mice performing context-dependent decision tasks",
  "argument_role": "supporting",
  "replication_status": "single_lab",
  "claim_source_sentence": "We show that the addition of a feedforward MD structure to the recurrent PFC increases robustness to low cueing signal-to-noise ratio, enhances working memory, and enables rapid context switching.",
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  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
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Incorporating genetically identified thalamocortical connectivity and interneuron cell types into the model replicates key neurophysiological findings in task-performing animals. Our model reveals computational mechanisms and geometric interpretations of MD in regulating cue uncertainty and context switching to enable cognitive flexibility.