NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Pezzulo, Giovanni; Cartoni, Emilio; Rigoli, Francesco; io-Lopez, Léo; Friston, Karl – Learning & Memory, 2016
Balancing habitual and deliberate forms of choice entails a comparison of their respective merits--the former being faster but inflexible, and the latter slower but more versatile. Here, we show that arbitration between these two forms of control can be derived from first principles within an Active Inference scheme. We illustrate our arguments…
Descriptors: Interference (Learning), Epistemology, Physiology, Neurology
Peer reviewed Peer reviewed
Direct linkDirect link
Epstein, Leonard H.; Temple, Jennifer L.; Roemmich, James N.; Bouton, Mark E. – Psychological Review, 2009
Research has shown that animals and humans habituate on a variety of behavioral and physiological responses to repeated presentations of food cues, and habituation is related to amount of food consumed and cessation of eating. The purpose of this article is to provide an overview of experimental paradigms used to study habituation, integrate a…
Descriptors: Habituation, Models, Food, Memory
Peer reviewed Peer reviewed
Direct linkDirect link
Huber, David E.; Clark, Tedra F.; Curran, Tim; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
Five experiments explored the effects of immediate repetition priming on episodic recognition (the "Jacoby-Whitehouse effect") as measured with forced-choice testing. These experiments confirmed key predictions of a model adapted from D. E. Huber and R. C. O'Reilly's (2003) dynamic neural network of perception. In this model, short prime durations…
Descriptors: Familiarity, Experimental Psychology, Infants, Recognition (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Gureckis, Todd M.; Love, Bradley C. – Infancy, 2004
Computational models of infant categorization often fail to elaborate the transitional mechanisms that allow infants to achieve adult performance. In this article, we apply a successful connectionist model of adult category learning to developmental data. The Supervised and Unsupervised Stratified Adaptive Incremental Network (SUSTAIN) model is…
Descriptors: Infants, Classification, Adult Learning, Computation