Word and deed: A computational model of instruction following

Abstract Instructions are an inextricable, yet poorly understood aspect of modern human life. In this paper we propose that instruction implementation and following can be understood as fast Hebbian learning in prefrontal cortex, which trains slower pathways (e.g., cortical–basal ganglia pathways)....

Full description

Saved in:
Bibliographic Details
Published in:Brain research 2012-02, Vol.1439, p.54-65
Main Authors: Ramamoorthy, Anand, Verguts, Tom
Format: Article
Language:English
Subjects:
Basal ganglia
Basal Ganglia - physiology
brain
Computer Simulation
cortex
ganglia
Hebbian learning
Humans
Instruction
Learning
Models, Neurological
Neural Pathways
Neurology
prediction
Prefrontal cortex
Prefrontal Cortex - physiology
Verbal Learning
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract Instructions are an inextricable, yet poorly understood aspect of modern human life. In this paper we propose that instruction implementation and following can be understood as fast Hebbian learning in prefrontal cortex, which trains slower pathways (e.g., cortical–basal ganglia pathways). We present a computational model of instruction following that is used to simulate key behavioral and neuroimaging data on instruction following. We discuss the relationship between our model and other models of instruction following, the predictions derived from it, and directions for future investigation.
ISSN:0006-8993
1872-6240
DOI:10.1016/j.brainres.2011.12.025