Dual learning processes underlying human decision-making in reversal learning tasks: Functional significance and evidence from the model fit to human behavior
Humans are capable of correcting their actions based on actions performed in the past, and this ability enables them to adapt to a changing environment. The computational field of reinforcement learning (RL) has provided a powerful explanation for understanding such processes. Recently, the dual lea...
Main Authors: | Yu eBai, Kentaro eKatahira, Hideki eOhira |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2014-08-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00871/full |
Similar Items
-
Separating Probability and Reversal Learning in a Novel Probabilistic Reversal Learning Task for Mice
by: Jeremy A. Metha, et al.
Published: (2020-01-01) -
The Effect of Reduced Learning Ability on Avoidance in Psychopathy: A Computational Approach
by: Takeyuki Oba, et al.
Published: (2019-11-01) -
Reinforcement Learning With Parsimonious Computation and a Forgetting Process
by: Asako Toyama, et al.
Published: (2019-05-01) -
Kea (Nestor notabilis) show flexibility and individuality in within-session reversal learning tasks
by: Huber, L., et al.
Published: (2021) -
Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning
by: Christian Jarvers, et al.
Published: (2016-11-01)