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A neurocomputational account of reward and novelty processing and effects of psychostimulants in attention deficit hyperactivity disorder
Computational models of reinforcement learning have helped dissect discrete components of reward-related function and characterize neurocognitive deficits in psychiatric illnesses. Stimulus novelty biases decision-making, even when unrelated to choice outcome, acting as if possessing intrinsic rewar...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5917772/ https://www.ncbi.nlm.nih.gov/pubmed/29547978 http://dx.doi.org/10.1093/brain/awy048 |