Altered statistical learning and decision-making in methamphetamine dependence: Evidence from a two-armed bandit task
Understanding how humans weigh long-term and short-term goals is important for both basic cognitive science and clinical neuroscience, as substance users need to balance the appeal of an immediate high versus the long-term goal of sobriety. We use a computational model to identify learning and decis...
Main Authors: | Katia M Harlé, Shunan eZhang, Max eSchiff, Scott eMackey, Martin P Paulus, Angela J Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2015-12-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.01910/full |
Similar Items
-
A Study of Thompson Sampling Approach for the Sleeping Multi-Armed Bandit Problem
by: Chatterjee, Aritra
Published: (2018) -
Multi-armed bandits with unconventional feedback
by: Gajane, Pratik
Published: (2017) -
Learning the Truth in Social Networks Using Multi-Armed Bandit
by: Olusola T. Odeyomi
Published: (2020-01-01) -
Structured Stochastic Bandits
by: Magureanu, Stefan
Published: (2016) -
Transcriptional Profiling of Whisker Follicles and of the Striatum in Methamphetamine Self-Administered Rats
by: Won-Jun Jang, et al.
Published: (2020-11-01)