Hebbian self-organizing memories (Pirrelli et al. 2010, Ferro et al. 2011, Koutnik 2007) can provide a rigorous and testable conceptual framework within which to unify diverse functional hypotheses for lexical acquisition and processing, and to clarify how these hypotheses may be explained computationally. I discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and report on how well such desiderata are met by different types of Hebbian self-organizing memories, exhibiting empirically different maturational trends in lexical acquisition.

Hebbian Self-Organizing Memories for Lexical Recoding and Processing

Pirrelli;Vito
2012

Abstract

Hebbian self-organizing memories (Pirrelli et al. 2010, Ferro et al. 2011, Koutnik 2007) can provide a rigorous and testable conceptual framework within which to unify diverse functional hypotheses for lexical acquisition and processing, and to clarify how these hypotheses may be explained computationally. I discuss a few desiderata that any biologically-inspired computational model of the mental lexicon has to meet, and report on how well such desiderata are met by different types of Hebbian self-organizing memories, exhibiting empirically different maturational trends in lexical acquisition.
2012
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Self-organising Maps
Memory
Word Processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/228594
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