We present a dynamic model of memory that integrates the processes of perception,
retrieval from knowledge, retrieval of events, and decision making as these evolve from 1 …

The literature contains a disconnect between accounts of how humans learn lexical
semantic representations for words. Theories generally propose that lexical semantics are …

Do humans search in memory using dynamic local-to-global search strategies similar to
those that animals use to forage between patches in space? If so, do their dynamic memory …

Abstract Concepts and word meaning are fundamental to nearly all aspects of human
cognition. People use this knowledge daily to recognize entities and objects in their …

In a series of analyses over mega datasets, Jones, Johns, and Recchia (Canadian Journal
of Experimental Psychology, 66 (2), 115–124, 2012) and Johns et al.(Journal of the …

In recent work exploring the semantic fluency task, we found evidence indicative of optimal
foraging policies in memory search that mirror search in physical environments. We …

Classic accounts of lexical organization posit that humans are sensitive to environmental
frequency, suggesting a mechanism for word learning based on repetition. However, a …

Objectives The present study aimed to characterize changes in verbal fluency performance
across the lifespan using data from the Canadian Longitudinal Study on Aging (CLSA) …

L'objectif classique de la modélisation cognitive est l'intégration du processus et de la
représentation pour développer des théories complètes de la cognition humaine (Estes …

Abstract We introduce the Embedded Computational Framework of Memory (eCFM), a
model that integrates structured semantic word representations with an instance-based …