Neural and computational basis of sensory uncertainty and decision confidence, fMRI, MEG, computational modeling, psychophysics.

Sensory and confidence uncertainty, probabilistic models of confidence, visual psychophysics.

Computational and neural mechanisms of decision confidence, metacognition and information seeking, psychophysics, computational modeling, MEG, fMRI.

Computational modeling of decision confidence; drift diffusion model, reinforcement learning, EEG.

Neural and computational basis of metacognition, confidence and information seeking, MEG, fMRI, computational modeling, psychophysics, individual differences.

Developmental studies of decision confidence, psychophysics, machine learning, computational modeling.

Decision confidence in impulsive and compulsive disorders, cognitive (online) tests, computational modeling.

Malleability of confidence and metacognition, psychophysics, EEG, movement analysis, computational modeling, machine learning.

Perceptual confidence, psychophysics, EEG, machine learning.

The self-consistency of perceptual confidence.

Supervisors: Pascal Mamassian in collaboration with David Soto.

Alejandro is a PhD student at the Laboratoire des Systèmes Perceptifs (ENS, Paris). He received his Master’s degree at the University College London where he explored the relationship between confidence and cognitive control. He is currently working on multisensory integration and metacognitive control. Outside the lab, Alejandro enjoys swimming, diving and discovering new places.

Computational and neural mechanisms of confidence formation.

Supervisors: Janneke Jehee in collaboration with Steve Fleming.

Alejandro is a PhD student at the Laboratoire des Systèmes Perceptifs (ENS, Paris). He received his Master’s degree at the University College London where he explored the relationship between confidence and cognitive control. He is currently working on multisensory integration and metacognitive control. Outside the lab, Alejandro enjoys swimming, diving and discovering new places.

Computational underpinnings of individual differences in confidence, offloading and information seeking.

Supervisors: Steve Fleming in collaboration with Pascal Mamassian.

Tianqi Zhan is a PhD student at University College London, working in Prof. Steve Fleming’s lab as part of the CODE Doctoral Network. She completed her MRes in Cognitive Neuroscience at UCL under Prof. Marco Wittmann’s supervision to study metacognition within social contexts. Her current research focuses on the mechanisms underlying metacognitive control, specifically how confidence influences information-seeking and behavioral offloading across the lifespan.

Assessing the role of metacognition in children’s learning.

Supervisors: David Soto in collaboration with Elisa Filevich.

Francisca is a predoctoral researcher at BCBL’s (Basque Center on Cognition, Brain and Language) consciousness group, where she studies Metacognition in Childhood under the supervision of David Soto. She holds a Master’s degree in Molecular and Translational Neuroscience from the University of Coimbra. During her time at ICNAS (Institute for Nuclear Sciences Applied to Health), she conducted research on perception in autism spectrum disorder using psychophysics and fmri methodologies. Outside of her academic work, she enjoys traveling, music concerts, and dancing.

Confidence abnormalities in psychiatric disorders.

Supervisors: Ruth van Holst in collaboration with Pascal Mamassian.

In 2023, Laura received her master’s degree in Theoretical and Experimental Psychology from the University of Ghent (Belgium). Currently, she is a PhD student in the CODE-network, working with Pascal Mamassian and Ruth van Holst. She will spend time at the ENS in Paris and at the UMC in Amsterdam. Her research focuses on the mechanisms of confidence during decision-making for individuals with compulsive disorders. She is interested in computational modeling and working with clinical populations. Outside the lab, Laura enjoys traveling and trying new food.

Training metacognitive ability in adults.

Supervisors: Elisa Filevich in collaboration with Uta Noppeney.

Gayatri Nerpagar is a PhD student with Dr. Elisa Filevich at the Meta Motor Lab, Eberhard Karl University of Tübingen. She has completed her master’s degree in Cognitive Science from Indian Institute of Technology Gandhinagar (IIT GN), India. Her research interests are motor metacognition, movement analysis, computational modelling, and decision neuroscience. Besides research, she is a trained dancer and enjoys learning new dance forms, reading fiction, and painting.

EEG decoding of perceptual confidence.

Supervisors: Andrea Desantis in collaboration with Kobe Desender and Guillaume Masson (Aix-Marseille Université).

Alessandra is a PhD student at ONERA in Salon-de-Provence, France, affiliated with the Institut de Neurosciences de la Timone and Aix-Marseille Université. Her 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. She holds an International Master’s Degree in Neuroscience from Trieste, where she investigated modulations of GABAergic activity via transcutaneous auricular vagal nerve stimulation, under the guidance of Prof Urgesi and Dr Finisguerra. Outiside the lab, Alessandra enjoys hiking as wells as experiencing art in all its shapes.

Project management support to the MSCA Doctoral Network ‘CODE’.