Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task - Wikidata - awgldk - TriplyDB

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task

Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task

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When Does Model-Based Control Pay Off?Adaptive integration of habits into depth-limited planning defines a habitual-goal-directed spectrum.Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.Stress enhances model-free reinforcement learning only after negative outcome Predictive representations can link model-based reinforcement learning to model-free mechanisms Flexibility to contingency changes distinguishes habitual and goal-directed strategies in humans Distinct prediction errors in mesostriatal circuits of the human brain mediate learning about the values of both states and actions: evidence from high-resolution fMRI.Dorsal hippocampus contributes to model-based planning.Short-term reward experience biases inference despite dissociable neural correlates.A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning.Deliberation and Procedural Automation on a Two-Step Task for Rats

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Simple Plans or Sophisticated Habits? State, Transition and Learning Interactions in the Two-Step Task

http://www.wikidata.org/entity/Q35866575

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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2015年论文

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Simple Plans or Sophisticated ...... eractions in the Two-Step Task

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Simple Plans or Sophisticated ...... eractions in the Two-Step Task

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JOURNAL.PCBI.1004648

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PLOS Computational Biology

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Simple Plans or Sophisticated ...... eractions in the Two-Step Task

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Rui Costa

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Corticostriatal neurons in auditory cortex drive decisions during auditory discrimination.

Different dorsal striatum circuits mediate action discrimination and action generalization.

Orbitofrontal and striatal circuits dynamically encode the shift between goal-directed and habitual actions.

Learning latent structure: carving nature at its joints.

Speed/accuracy trade-off between the habitual and the goal-directed processes

States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning

Bonsai trees in your head: how the pavlovian system sculpts goal-directed choices by pruning decision trees.

Rats and humans can optimally accumulate evidence for decision-making.

Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning.

Model-based influences on humans' choices and striatal prediction errors.

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e1004648

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scholarly article

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10.1371/JOURNAL.PCBI.1004648

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12

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11

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2015-12-11T00:00:00Z

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286990280

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26657806

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4686094

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