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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 28, 2014
Cue-induced craving increases impulsivity via changes in striatal value signals in problem gamblersStephan F Miedl, Christian Büchel, Jan Peters
Future Microbiology|September 12, 2013
Genetic variation in Chlamydia trachomatis and their hosts: impact on disease severity and tissue tropismHossam Abdelsamed, Jan Peters, Gerald I Byrne
Scientific Reports|March 30, 2021
Reliability assessment of temporal discounting measures in virtual reality environmentsLuca R Bruder, Lisa Scharer, Jan Peters
Plos One|April 23, 2021
Perception and prediction of the putting distance of robot putting movements under different visual/viewing conditionsGerrit Kollegger, Josef Wiemeyer, Marco Ewerton, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 19, 2020
Dopaminergic Modulation of Human Intertemporal Choice: A Diffusion Model Analysis Using the D2-Receptor Antagonist HaloperidolBen Wagner, Mareike Clos, Tobias Sommer, et al.
Scientific Reports|April 18, 2020
Author Correction: Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor ControlElmar Rueckert, Jernej Čamernik, Jan Peters, et al.
Brain Structure & Function|September 18, 2009
Structure-function relationships in the processing of regret in the orbitofrontal cortexTobias Sommer, Jan Peters, Jan Gläscher, et al.
Zeitschrift Fur Evidenz, Fortbildung Und Qualitat Im Gesundheitswesen|August 4, 2023
Die Neustrukturierung der Notaufnahme gemäß dem G-BA-Beschluss zu einem gestuften System von NotfallstrukturenJan Peters, Jens Beuche, André Nohl, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 12, 2023
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse DynamicsHany Abdulsamad, Peter Nickl, Pascal Klink, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 14, 2009
Adaptive importance sampling for value function approximation in off-policy reinforcement learningHirotaka Hachiya, Takayuki Akiyama, Masashi Sugiayma, et al.
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