Our lab LOVES to collaborate!

At Maastricht University we are embedded in the Basic & Applied NeuroDynamics Laboratory (BAND Lab) headed by Sonja Kotz. We currently collaborate on various projects, including predictive processing of temporal features, and resting state correlates of hallucination tendencies. In our home department (Neuropsychology & Psychopharmacology), we have recently started a joint project with Tjeerd Boonstra, focusing on predictive processing in Parkinson's disease. 

We also collaborate closely with the neighbouring Cognitive Neuroscience Department, where together with Federico De Martino we carry out layer-specific neuroimaging studies on associative learning, and develop theoretical models of prediction mechanisms in the brain. We also have a recent paper with Lars Riecke on modeling multimodal influences on conscious perception. Beyond our Faculty, we also collaborate with Michelle Moerel on high-field neuroimaging and computational models of layer-specific cortical activity.

We are also associated with the Free University of Berlin, where we collaborate with Felix Blankenburg (Neuroimaging and Neurocomputation Unit) and Rasmus Bruckner, using various empirical and computational methods to investigate the neural mechanisms of prediction and learning across different task contexts.

Our most active collaborations include:

• Lucia Melloni and Caspar Schwiedrzik (both currently at the Ruhr University Bochum, Germany), focusing on the neural mechanisms of "what" and "when" predictions (see a recent preprint and our previous paper in the Journal of Neuroscience

• Jan Schnupp (currently at the Chinese University of Hong Kong), with whom we carry out cross-species work on the neural mechanisms of predictive processing in audition (see examples in Current Biology and Cerebral Cortex)

• Juanita Todd (University of Newcastle, Australia), in the context of disrupted predictive coding in schizophrenia (see examples Schizophrenia Bulletin and Clinical EEG and Neuroscience)

Previously we have worked closely with:

• Karl Friston (University College London), modeling mechanisms of prediction and attention based on M/EEG data (e.g. papers in Cerebral Cortex and Journal of Neuroscience)

• Kia Nobre (University of Oxford; currently Yale University), investigating contextual and temporal predictions (e.g. PLOS Biology and Journal of Neuroscience)

Our extended network of collaborators include:

• Micah Allen (Aarhus University, Denmark)

• Helen Barron (University of Oxford, UK)

• Jennifer Bizley (University College London, UK)

• Sir Colin Blakemore, RIP

• Niko Busch (Münster University, Germany)

• Maria Chait (University College London, UK)

• Francesca Fardo (Aarhus University, Denmark)

• Nicol Harper (University of Oxford, UK)

• Hauke Heekeren (University of Hamburg, Germany)

• Saskia Helbling (Ernst Strüngmann Institute, Frankfurt, Germany)

• Luca Iemi (Barnard College, New York, USA)

• Hijee Kang (Johns Hopkins University, USA)

• Patrick Kanold (Johns Hopkins University, USA)

• James Kilner (University College London, UK)

• Gregor Lichtner (Greifswald University Hospital, Germany)

• Manuel Malmierca (Salamanca, Spain)

• Nick Myers (University of Nottingham, UK)

• Soyoung Park (DIFE Potsdam, Germany)

• Marios Philiastides (University of Glasgow, UK)

• Dimitrios Pinotsis (City University of London, UK)

• David Poeppel (New York University, USA)

• Arezoo Pooresmaeili (University of Southampton, UK)

• Vani Rajendran (UNAM, Mexico)

• Dean Salisbury (University of Pittsburgh, USA)

• Charles E Schroeder (Columbia University, USA)

• Bernhard Spitzer (University of Dresden, Germany)

• Philipp Sterzer (University of Basel, Switzerland)

• Ana Todorovic (previously University of Oxford, UK)

• István Winkler (Hungarian Academy of Sciences, Hungary)

• Xiongjie Yu (Zhejiang University, China)