People involved in EEGManyPipelines

I am a PhD candidate at the Donders Institute in Nijmegen, the Netherlands. I use (simultaneous) EEG and fMRI, eye-gaze, and pupillometry combined with computational modeling of behavior to study reinforcement learning and decision-making. I am particularly interested in motivational biases, i.e. the prospect of rewards or punishments invigorating or suppressing behavior.

I am a professor for experimental psychology at the University of Münster. I use EEG, eye tracking, and psychophysics to study visual cognition. For more information, go to http://go.wwu.de/xgfs6.

I'm a postdoc at the Institute of Psychology, University of Münster, focusing on reproducibility of EEG research and an impact different analysis parameters have to the observed result. I’m primarily working on the EEGManyPipelines project. My previous research experience and interests extend to spontaneous neural oscillations and their role in attention modulation.

I am a postdoc at National University of Singapore (NUS), where I presently work with EEG correlates of prosocial behaviours (e.g. fairness perception and theory of mind skills) in preschoolers. During my PhD, I investigated the EEG features linked with propagating information through social media. Therefore, my main research interests are (but not restricted to) investigating how people process and perceive social information and how this can affect their behaviours in real-world. When I am not working, I like to explore different cuisines, meet some friends and watch Netflix series.

I am a Senior Assistant Professor at the University of Messina. I use brain stimulation, EEG, kinematics and behavioral measures - often in combination - to investigate motor cognition in healthy participants and clinical populations (e.g. patients with movement disorders).

I'm a post-doc at the University of Oxford, interested in how interactions between brain regions enable humans to learn to attend to the right parts of space. I use a combination of MEG, computational modelling and brain stimulation (TMS, tDCS). I’m also interested in how we can improve the ways we do and think about cognitive neuroscience.

I am a researcher in neuroscience and metascience. I have worked for many years with brain imaging methods including MRI and EEG to study e.g. sleep and diurnal rhythms. I also take a strong interest in research transparency and reproducibility, and have been involved in numerous projects to examine replicability and reproducibility.

I am a Senior Researcher at Institute of Applied Mathematics M. Picone, National Council of Research in Roma (Italy). My main research interests regard the formulation, implementation and validation of algorithms for the solution of the MEG/EEG inverse problems. Recently a lot of effort was devoted in the development of NeuroPycon an open-source brain data analysis kit which provides reproducible Python-based pipelines for advanced multi-thread processing of fMRI, MEG and EEG data, with a focus on connectivity and graph analyses.

I am currently an MSCA fellow with Lucia Melloni at the MPI for Empirical Aesthetics. As a cognitive neuroscientist, I try to understand how the human brain generates and stores subjective experiences. To this end, I employ a mixture of behavioral techniques and electrophysiological methods (i.e., EEG/MEG), as well as machine learning algorithms. When I am not in the lab, I enjoy spending time with my kids, cooking (and eating) dishes from different cultures and cuisines, listening to and playing music (either on my recorder or my guitar), and traveling to (foreign) cities and countries.

I am a postdoc at the Department of Psychology at the University of Copenhagen, and an affiliated researcher at The National Facility for Magnetoencephalography (NatMEG) at Karolinska Institutet. My main research is on motor control and functional correlates of neurodegenerative diseases involving M/EEG.

I am a second-year postdoctoral fellow. Currently my research investigates the impact of neural oscillatory states on low-level sensory information processing and their potential cascade effects in developmental disorders. For this purpose I use EEG (and eye-tracking) and I am interested in a mixture of source localization and decoding analysis.

I am a postdoctoral fellow at the University of Würzburg. I use EEG, eye-tracking, and psychophysics to investigate the face perception, visual processing, and emotions both in healthy subjects and patients with disorders in socioemotional processing, such as patients with schizophrenia. Furthermore, I combine EEG measure with computational modelling of behaviour to study decision making in face processing.