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 an Associate 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 an assistant professor in Multimodal Neuroimaging at the Centre for Human Brain Health, University of Birmingham. I'm mainly interested in understanding the ways transcranial brain stimulation - using magnetic fields, electric currents, and ultrasound - change brain network activity, in order to make them more effective translational tools for treating disorders and improving brain health. I use a combination of EEG, MEG, OPM, brain stimulation and computational modelling. 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 the Institute of Applied Mathematics “M. Picone” (IAC), CNR in Rome, Italy. My research interests concern the development of advanced computational methods for estimating neural time series from MEG/EEG data, with particular emphasis on Bayesian approaches. I contributed to the development of several open-source packages, including Neuropycon, an open-source Python-based pipeline for advanced multi-threaded processing of fMRI and M/EEG data. My current work focuses on the characterization of brain dynamics from M/EEG measurements during various meditation practices, combining complexity- and criticality-related measures with machine learning techniques.

I am an Assistant Professor of Cognitive Neuroscience at Maastricht University. My research asks how the brain turns sensory input into subjective experience and memory. I am particularly interested in the dynamic relationship between perception and memory: how what we perceive becomes what we remember, and how past experiences shape perception in return using a combination of behavioral methods, electrophysiology (EEG/MEG), intracranial recordings, and computational approaches including machine learning. Outside of research, I enjoy spending time with my kids, cooking and exploring cuisines from around the world, listening to and playing music, and traveling.

I work with computational modeling of hierarchical intentions at the Department of Psychology at the University of Copenhagen, and I am an affiliated researcher at The National Facility for Magnetoencephalography (NatMEG) at Karolinska Institutet. I regularly teach courses on EEG and related methods. 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.