Primary research articles

Kraemer, P.M., Fontanesi, L., Spektor, M.S., & Gluth, S. Response time models separate single- and dual-process accounts of memory-based decisions. PsyArXiv.

Weilbächer, R.A., Kraemer, P.M., & Gluth, S. (in press). The reflection effect in memory-based decisions. Psychological Science (preprint available at: PsyArXiv).

Gluth, S., Kern, N., Kortmann, M., & Vitali, C. (2020). Value-based attention but not divisive normalization influence decisions with multiple alternatives. Nature Human Behaviour.

Fontanesi, L., Gluth, S., Spektor, M.S., & Rieskamp, J. (2019). A reinforcement learning diffusion decision model for value-based decisions. Psychonomic Bulletin & Review, 26, 1099-1121.

Gluth, S., & Meiran, N. (2019). Leave-One-Trial-Out, LOTO, a general approach to link single-trial parameters of cognitive models to neural data. eLife, 8, e42607.

Spektor, M.S., Gluth, S., Fontanesi, L., & Rieskamp, J. (2019). How similarity between choice options affects decisions from experience: The accentuation-of-differences model. Psychological Review, 126, 54–88.

Gluth, S.*, Spektor, M.S.*, & Rieskamp, J. (2018). Value-based attentional capture affects multi-alternative decision making. eLife, 7, e39659.                                                                                                                                                                                                  *equal contribution    

Mechera-Ostrovsky, T., & Gluth, S. (2018). Memory beliefs drive the memory bias on value-based decisions. Scientific Reports, 8(1), 1-16.

Gluth, S., Hotaling, J.M., & Rieskamp, J. (2017). The attraction effect modulates reward prediction errors and intertemporal choices. Journal of Neuroscience37, 371-382.

Gluth, S., & Rieskamp, J. (2017). Variability in behavior that cognitive models do not explain can be linked to neuroimaging data. Journal of Mathematical Psychology, 76, 104-117.

van Maanen, L., Fontanesi, L., Hawkins, G.E. & Forstmann, B.U. (2016). Striatal activation reflects urgency in perceptual decision making. NeuroImage, 294-303. 

Clos, M., Schwarze, U., Gluth, S., Bunzeck, N. & Sommer, T. (2015). Goal- and retrieval-dependent activity in the striatum during memory recognition. Neuropsychologia72, 1-11.

Gluth, S., Sommer, T., Rieskamp, J., & Büchel, C. (2015). Effective connectivity between hippocampus and ventromedial prefrontal cortex controls preferential choices from memory. Neuron86, 1078-90.

Gluth, S., Rieskamp, J., & Buechel, C. (2014). Neural evidence for adaptive strategy selection in value-based decision-making. Cerebral Cortex24, 2009-2021. edoc

Boll, S., Gamer, M., Gluth, S., Finsterbusch, J., & Büchel, C. (2013). Separate amygdala subregions signal surprise and predictiveness during associative fear learning in humans. The European Journal of Neuroscience37, 758-67.

Gluth, S., Rieskamp, J., & Büchel, C. (2013). Deciding not to decide : computational and neural evidence for hidden behavior in sequential choice. PLoS Computational Biology9, e1003309. edoc (Open Access)

Gluth, S., Rieskamp, J., & Büchel, C. (2013). Classic EEG motor potentials track the emergence of value-based decisions. NeuroImage79, 394-403. edoc

Brassen, S., Gamer, M., Peters, J., Gluth, S., & Büchel, C. (2012). Don't look back in anger! Responsiveness to missed chances in successful and nonsuccessful aging.Science336, 612-4.

Burzynska, A.Z., Nagel, I.E., Preuschhof, C., Gluth, S., Bäckman, L., Li, S.-C. Lindenberger, U., & Heekeren, H.R. (2012). Cortical thickness is linked to executive functioning in adulthood and aging. Human Brain Mapping33, 1607-20.

Gluth, S., Rieskamp, J., & Büchel, C. (2012). Deciding when to decide: time-variant sequential sampling models explain the emergence of value-based decisions in the human brain. Journal of Neuroscience32, 10686-98. edoc (Open Access)

Ebner, N.C., Gluth, S., Johnson, M.R., Raye, C.L., Mitchell, K.J., & Johnson, M.K. (2011). Medial prefrontal cortex activity when thinking about others depends on their age.Neurocase17, 260-9.

Gluth, S., Ebner, N.C., & Schmiedek, F. (2010). Attitudes toward younger and older adults: The German Aging Semantic Differential. International Journal of Behavioral Development34, 147-158.

Reviews, book chapters, and commentaries

Gluth, S., & Fontanesi, L. (forthcoming). Cognitive modeling in neuroeconomics. To appear in B.U. Forstmann & B. Turner (Eds.), Introduction to Model-based Cognitive Neuroscience (2nd edition). New York: Springer.

Kraemer, P.M., Weilbächer, R.A., Fontanesi, L., & Gluth, S. (forthcoming). Neural bases of financial decision making: from spikes to large-scale brain connectivity. To appear in J. Traczyk & T. Zaleskiewicz (Eds.), Psychological Perspectives on Financial Decision Making. New York: Springer.

Busemeyer, J.R., Gluth, S., Rieskamp, J., & Turner, B. (2019). Cognitive and neural bases of multi-attribute, multi-alternative value-based decisions. Trends in Cognitive Sciences, 23(3), 251-263.

Gluth, S., & Jarecki, J.B. (2019). On the importance of power analyses for cognitive modeling. Computational Brain & Behavior, 2, 266-270.

Huber, R., & Gluth, S. (2019). Psychologische Konsequenzen von Armut: Möglichkeiten und Grenzen zielorientierter Präventionsmassnahmen. In C. Mattes & C. Knöpfel (Eds.), Armutsbekänpfung durch Schuldenprävention (pp. 91-105). Wiesbaden: Springer.

Weilbächer, R.A., & Gluth, S. (2017). The interplay of hippocampus and ventromedial prefrontal cortex in memory-based decision making. Brain Sciences7, 4.

Gluth, S., & Fontanesi, L. (2016). Wiring the altruistic brain. Science351, 1028-1029.


Gluth, S. (2018). Psychologische Auswirkungen von Armut. Das Budget, 81, 18–19.

Gluth, S. (2018). Entscheidungsverzerrungen und Pricing.

Gluth, S. (2016). Zuckerbrot und Peitsche - wie uns die biologischen Grundlagen des Lernens prägen. Wirtschaftspsychologie aktuell, 32-36.