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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
