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

@inproceedings{Schad2014ProcessingSE,
  title={Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning},
  author={Daniel J. Schad and Elisabeth J{\"u}nger and Miriam Sebold and Maria Garbusow and Nadine Bernhardt and Amir-Homayoun Javadi and Ulrich S. Zimmermann and Michael N. Smolka and Andreas Heinz and Michael A. Rapp and Quentin J. M. Huys},
  booktitle={Front. Psychol.},
  year={2014}
}
Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that… CONTINUE READING
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Decision Neuroscience, a section of the journal Frontiers in Psychology

  • Schad, Jünger, +8 authors Huys
  • 2014

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