Document Type

Poster

Publication Date

2015

Publisher

University of Nevada, Las Vegas; Center for Academic Enrichment and Outreach

Abstract

Classical conditioning demonstrates that rewards can be used to train behavior by pairing a stimulus, known as a prompt, with reinforced behavior. At a neuronal level, this association strengthens the connections between the neurons involved, making communication easier the next time. Enhanced communication is identified with learning, allowing an organism to anticipate a reward with a prompt so that it can perform the desired behavior to successfully obtain the reward (Noonan et al., 2011). In this study, we created a computational model to represent a neural circuit with synaptic plasticity during reward, no-reward and anticipation states. Our results confirmed our hypothesis that the model would be able to differentiate between reward and no-reward stimuli and subsequently anticipate the likelihood of reward and no-reward states on ensuing trials.

Keywords

Conditioning; Behavior; Neural Circuits

Disciplines

Psychology

Language

English


Included in

Psychology Commons

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