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Stephen Ferrigno

Datos Biográficos

ID4601810
NOMBREStephen Ferrigno
NOMBRESStephen
APELLIDOFerrigno
FIRMAFERRIGNO S
AFILIACIONESDepartment of Psychology, University of Wisconsin-Madison
ORCID0000-0002-8021-1662
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Do Humans Use Push‐Down Stacks When Learning or Producing Center‐Embedded Sequences

    Open Access•Stephen Ferrigno, Samuel J Cheyette et al.•ARTICLE•Cognitive Science•2025•Referencias: 46

    Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains—natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial grammar learning task to study how adults abstract center‐embedded and cross‐serial grammars that gener…

Sin obras prominentes en esta página.

  • Do Humans Use Push‐Down Stacks When Learning or Producing Center‐Embedded Sequences

    Open Access•Stephen Ferrigno, Samuel J Cheyette et al.•ARTICLE•Cognitive Science•2025•Referencias: 46

    Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains—natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial grammar learning task to study how adults abstract center‐embedded and cross‐serial grammars that gener…

Cognition (1 obras) · Cognitive architecture (1 obras) · Embedding (1 obras) · Grammar (1 obras) · Implicit Learning (1 obras) · Neurobiology of Language and Bilingualism (1 obras) · Reading and Literacy Development (1 obras) · Rule-based machine translation (1 obras) · Sequence learning (1 obras) · Topic Modeling (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae