Naturalistic narrative input enhances an intrinsic temporal-lag gradient in a r…

Naturalistic narrative input enhances an intrinsic temporal-lag gradient in a recurrent reservoir network whose architecture mimics cortex, supporting the hypothesis that hierarchical timescales emerge from a combination of stimulus statistics and local cortico-cortical wiring.

{
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  "doi": "10.1073/pnas.2420105122",
  "claim": "Naturalistic narrative input enhances an intrinsic temporal-lag gradient in a recurrent reservoir network whose architecture mimics cortex, supporting the hypothesis that hierarchical timescales emerge from a combination of stimulus statistics and local cortico-cortical wiring.",
  "cite_key": "Chang2025",
  "evidence": "Naturalistic narrative input enhances an intrinsic temporal-lag gradient in a recurrent reservoir network whose architecture mimics cortex, supporting the hypothesis that hierarchical timescales emerge from a combination of stimulus statistics and local cortico-cortical wiring.",
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  "text_access": "fulltext",
  "study_system": "Recurrent reservoir networks; comparison with human narrative-comprehension fMRI literature",
  "source_cluster_id": "cluster_07",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "This configuration endows the network with an intrinsic lag gradient, inducing a cascade of activity as information propagates along the network.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
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Naturalistic narrative input enhances an intrinsic temporal-lag gradient in a recurrent reservoir network whose architecture mimics cortex, supporting the hypothesis that hierarchical timescales emerge from a combination of stimulus statistics and local cortico-cortical wiring.