Idea

Humans are able to report their subjective certainty about decisions, actions or perceptions. We believe that such subjective certainty – or confidence – can be used as a learning signal to reinforce neural circuitry involved in these processes. We refer to this form of learning as confidence-based learning.

Our goal is to establish this potential novel form of learning using psychophycsical, physiolgical and neuroimaging measurements. To understand the mechanisms of confidence-based learning, we devise computational models and test them through simulation and data-driven model comparison.

This group is supported by the Deutsche Forschungsgemeinschaft (DFG) and hosted by the Visual Perception Lab at the Charité Universitätsmedizin Berlin.

People


Dr. rer. nat. Matthias Guggenmos
Group leader

E-mail
Matthias Guggenmos

Isa Steinecker
PhD student

Isa Steinecker

Lena Esther Ptasczynski
MSc Computational Science
student assistant

Lena Esther Ptasczynski

Laura-Sophia von Hirschhausen
BSc Psychology
student assistant

Laura-Sophia von Hirschhausen

Hsin-Chen Lee
MSc Medical Neuroscience
internship

Hsin-Chen Lee

Zainab Mohamed
MSc Computational Neuroscience
internship

Zainab Mohamed

Yannik Schmidt
BSc Psychology
internship

Yannik Schmidt

Prof. Philipp Sterzer
Department Head
Philipp Sterzer

We are open to students interested in internships, lab rotations or master theses. To apply, please write us an E-mail with a short motivation and CV.

Key publications

Learning with internal feedback: confidence-based learning

Guggenmos M, Wilbertz G, Hebart MN & Sterzer P (2016). Mesolimbic confidence signals guide perceptual learning in the absence of external feedback. eLife 5: 1–19.  

Guggenmos M & Sterzer P (2017). A confidence-based reinforcement learning model for perceptual learning. BioRxiv.  


Learning with external feedback

Varrier RS, Stuke H, Guggenmos M* & Sterzer P* (2019). Sustained effects of corrupted feedback on perceptual inference. Scientific Reports 9: 5537.  

Varrier RS, Rothkirch M, Stuke H, Guggenmos M* & Sterzer P* (2020). Unreliable feedback deteriorates information processing in primary visual cortex. NeuroImage 214, 116701.  


Methods: multivariate pattern analysis in neural data analysis

Gayet S, Guggenmos M, Christophel TB, Haynes J, Paffen CLE, Sterzer P, and Van Der Stigchel S (2020). No evidence for mnemonic modulation of interocularly suppressed visual input. NeuroImage 215, 116801.  

Gayet S, Guggenmos M, Christophel TB, Haynes JD, Paffen CLE, Van Der Stigchel S, and Sterzer P (2017). Visual working memory enhances the neural response to matching visual input. Journal of Neuroscience 37, 6638–6647.  

Guggenmos M, Schmack K, Veer I, Lett L, Sekutowicz M, Sebold M, Garbusow M, Sommer C, Wittchen H-U, Zimmermann U, Smolka M, Walter H, Heinz A & Sterzer P (2020). A multimodal neuroimaging classifier for alcohol dependence. Scientific Reports 10, 1–12.  

Sekutowicz M*, Guggenmos M*, Kuitunen P-S, Garbusow M, Sebold M, Pelz P, Priller J, Wittchen H-U, Smolka MN, Zimmermann U, Heinz A, Sterzer P & Schmack K (2019). Neural Response Patterns During Pavlovian-to-Instrumental Transfer Predict Alcohol Relapse and Young Adult Drinking. Biological Psychiatry 86: 857–863.  

Guggenmos M, Sterzer P & Cichy RM (2018). Multivariate pattern analysis for MEG: a comparison of dissimilarity measures. NeuroImage 173: 434–447.  


Methods: computational modeling

Sebold M, Nebe S, Garbusow M, Guggenmos M, Schad DJ, Beck A, Kuitunen P-S, Sommer C, Neu P, Zimmermann US, Rapp MA, Smolka MN, Huys QJM, Schlagenhauf F & Heinz A (2017). When habits are dangerous - Alcohol expectancies and habitual decision-making predict relapse in alcohol dependence. Biological Psychiatry 82: 846-856.  

Ostwald D, Spitzer B, Guggenmos M, Schmidt TT, Kiebel SJ & Blankenburg F (2012). Evidence for neural encoding of Bayesian surprise in human somatosensation. NeuroImage 62: 177–88.  


See Google Scholar for a full list of publications.

Find us

We are located at the Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, 10117 Berlin.

Campus address: Rahel-Hirsch-Weg 5, Room 02-010.