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Journal Article

Components of behavioral activation therapy for depression engage specific reinforcement learning mechanisms in a pilot study

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Huys,  Quentin J. M.       
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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Russek,  Evan M.
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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https://doi.org/10.5334/cpsy.81
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Citation

Huys, Q. J. M., Russek, E. M., Abitante, G., Kahnt, T., & Gollan, J. K. (2022). Components of behavioral activation therapy for depression engage specific reinforcement learning mechanisms in a pilot study. Computational Psychiatry, 6(1), 238-255. doi:10.5334/cpsy.81.


Cite as: https://hdl.handle.net/21.11116/0000-000E-8850-E
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