Get to know our PhD students!👁️‍🗨️🎉 Thomas Hawkins, supervised by Janneke Jehee and Uta Noppeney, investigates the temporal dynamics of perceptual uncertainty and develops new methods to measure uncertainty directly from brain signals.

Get to know our PhD students!👁️‍🗨️🎉 Alexandre Lietard, supervised by Kobe Desender, studies how confidence helps us balance exploring new possibilities and exploiting what we already know, using a Bayesian framework to model adaptive behavior.

Get to know our PhD students!👁️‍🗨️🎉 Francisca Matias, supervised by David Soto and Pascal Mamassian, studies metacognition in children: how confidence develops, how peers shape self-monitoring, and how neuropsychiatric traits influence learning.

Get to know our PhD students!👁️‍🗨️🎉 Luis Glenzer, supervised by Uta Noppeney and Janneke Jehee, explores perceptual and causal uncertainty in multisensory perception using fMRI, Bayesian modelling, and neural decoding.

Get to know our PhD students!👁️‍🗨️🎉 Tianqi Zhan, supervised by Steve Fleming, investigates the individual differences in metacognitive monitoring and control using behavioral experiments and computational approaches.

Get to know our PhD students!👁️‍🗨️🎉 Laura De Laere, supervised by Ruth van Holst and Pascal Mamassian, studies how decision confidence is altered in compulsive disorders using computational modeling.

Get to know our PhD students!👁️‍🗨️🎉 Rodrigo Raimundo, supervised by Janneke Jehee, investigates how uncertainty in sensory inputs shapes our confidence and decision-making using fMRI.

Get to know our PhD students!👁️‍🗨️🎉 Alejandro Lorca-Vyhmeister, supervised by Pascal Mamassian, studies how audiovisual integration shapes metacognitive monitoring and control. 🧠✨

Get to know our PhD students!👁️‍🗨️🎉 Gayatri, supervised by Elisa Filevich and Uta Noppeney, is exploring how metacognition and multisensory integration shape fine-motor skill learning in guitar playing.

Get to know our PhD students!👁️‍🗨️🎉 Alessandra's doctoral research is supervised by Andrea Desantis and co-supervised by Kobe Desender and Guillaume Masson. Her project aims at decoding decision confidence from EEG signals, focusing on the potential amodal nature of these processes.

The CODE Network Workshop on Computational Modelling in Leuven was a fantastic opportunity to explore up-to-date ideas on metacognition🤯. We had an excellent lineup of presenters and students enriched the event with their project presentations! #MSCA

First Confident Decision Network Workshop at UCL! 😎 Huge thanks to our amazing lineup of speakers and everyone who joined us to make this event a success. @singmann.bsky.social @smfleming.bsky.social @liadmudrik.bsky.social @jennirodd.bsky.social @nadinedijkstra.bsky.social @amansaleem.bsky.social