Leonie’s paper, showing that conditioned versus socially instructed
expectations modulate pain via separate brain systems, was
published today in Nature Communications!
Check out Jessica’s new paper in the Journal of Mathematical
Psychology, proposing a hierarchical Bayesian method to dissociate learning and guessing processes during reinforcement learning!
Our paper on the detection of decision strategies using Bayesian
latent-mixture modeling is published in Computational Brain & Behavior!
Our new paper on the mechanisms underlying self-reinforcing
expectations in the pain domain is published in Nature Human
Behaviour! The data and modeling code can be found on OSF. Also see the nice comment by Katja Wiech.
Our paper about the role of the noradrenergic and cholinergic
systems in belief updating is accepted in the Journal of Cognitive Neuroscience!
Our symposium How motivational and learning processes shape pain and avoidance was accepted for the ESCAN meeting in Leiden (19-22 July 2018). I will present my recent pharmacological fMRI work on pain avoidance learning.
I moved to the University of Amsterdam to investigate reinforcement learning and decision making processes, and how these change during development, together with Hilde Huizenga and others!
Our symposium Dillemas in the face of uncertainty: Computational
approaches to adaptive behavior is accepted for the ICON meeting in Amsterdam (5-8 August 2017)
Our review on the effects of instructions on pain, emotion, and
affective learning is accepted for publication:
Koban, L., Jepma, M., Geuter, S., Wager, T.D. (in press). What’s in a word? How instructions, suggestions, and social information change pain and emotion. Neuroscience & Biobehavioral Reviews.
Our paper examining the role of the human catecholamine systems in learning rate regulation is accepted for publication:
Jepma, M., Murphy, P., Nassar, M.R., Rangel-Gomez, M., Meeter, M., Nieuwenhuis, S. (2016). Catecholaminergic regulation of learning rate in a dynamic environment. PLOS Computational Biology, 12(10): e1005171