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Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control
| Citations: | 4 - 1 self |
BibTeX
@MISC{Huang_assemblingold,
author = {Tsung-ren Huang and Thomas E. Hazy and Seth A. Herd and All C. Oʼreilly},
title = {Assembling Old Tricks for New Tasks: A Neural Model of Instructional Learning and Control},
year = {}
}
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Abstract
■ We can learn from the wisdom of others to maximize success. However, it is unclear how humans take advice to flexibly adapt behavior. On the basis of data from neuroanatomy, neurophysiology, and neuroimaging, a biologically plausible model is developed to illustrate the neural mechanisms of learning from instructions. The model consists of two complementary learning pathways. The slow-learning parietal pathway carries out simple or habitual stimulus–response (S-R) mappings, whereas the fast-learning hippocampal pathway implements novel S-R rules. Specifically, the hippocampus can rapidly encode arbitrary S-R associations, and stimulus-cued responses are later recalled into the basal ganglia-gated pFC to bias response selection in the premotor and motor cortices. The interactions between the two model learning pathways explain how instructions can override habits and how automaticity can be achieved through motor consolidation. ■
Keyphrases
old trick new task neural model instructional learning complementary learning pathway arbitrary s-r association basal ganglia-gated pfc motor consolidation response selection plausible model slow-learning parietal pathway motor cortex neural mechanism habitual stimulus response stimulus-cued response
