Publikationen von Quentin J. M. Huys

Zeitschriftenartikel (25)

Russek, E. M., Moran, R., McNamee, D., Reiter, A., Liu, Y., Dolan, R. J., & Huys, Q. J. M. (2020). Opportunities for emotion and mental health research in the resource-rationality framework [Commentary]. Behavioral and Brain Sciences, 43, Article e21.
Schad, D. J., Rapp, M. A., Garbusow, M., Nebe, S., Sebold, M., Obst, E., Sommer, C., Deserno, L., Rabovsky, M., Friedel, E., Romanczuk-Seiferth, N., Wittchen, H.-U., Zimmermann, U. S., Walter, H., Sterzer, P., Smolka, M. N., Schlagenhauf, F., Heinz, A., Dayan, P., & Huys, Q. J. M. (2020). Dissociating neural learning signals in human sign- and goal-trackers. Nature Human Behaviour, 4, 201–214.
Garbusow, M., Nebe, S., Sommer, C., Kuitunen-Paul, S., Sebold, M., Schad, D. J., Friedel, E., Veer, I. M., Wittchen, H.-U., Rapp, M. A., Ripke, S., Walter, H., Huys, Q. J. M., Schlagenhauf, F., Smolka, M. N., & Heinz, A. (2019). Pavlovian-to-instrumental transfer and alcohol consumption in young male social drinkers: Behavioral, neural and polygenic correlates. Journal of Clinical Medicine, 8(8), Article 1188.
Grosskurth, E. D., Bach, D. R., Economides, M., Huys, Q. J. M., & Holper, L. (2019). No substantial change in the balance between model-free and model-based control via training on the two-step task. PLoS Computational Biology, 15(11), Article e1007443.
Rutledge, R. B., Chekroud, A. M., & Huys, Q. J. M. (2019). Machine learning and big data in psychiatry: Toward clinical applications. Current Opinion in Neurobiology, 55, 152–159.

Buchkapitel (1)

Huys, Q. J. M., & Browning, M. (2022). A computational view on the nature of reward and value in anhedonia. In D. A. Pizzagalli (Ed.), Anhedonia: Preclinical, translational, and clinical integration (pp. 421–441). Springer Nature.

Rezension (1)

Huys, Q. J. M. (2022). Is there mathematics to madness? Brain.

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