4 papers
Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets
Laurits Dixen, Stefan Heinrich, Paolo Burelli
Classification of EEG signals using shallow Convolutional Neural Networks (CNNs) is a prevalent and successful approach across a variety of fields. Most of these models use indepen…
Exploring Deep Learning Models for EEG Neural Decoding
Laurits Dixen, Stefan Heinrich, Paolo Burelli
Neural decoding is an important method in cognitive neuroscience that aims to decode brain representations from recorded neural activity using a multivariate machine learning model…
Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
Paolo Burelli, Laurits Dixen
Videogames have been a catalyst for advances in many research fields, such as artificial intelligence, human-computer interaction or virtual reality. Over the years, research in fi…
Hades Again and Again: A Study on Frustration Tolerance, Physiology and Player Experience
Maj Frost Jensen, Laurits Dixen, Paolo Burelli
Accurately quantifying player experience is challenging for many reasons: identifying a ground truth and building validated and reliable scales are both challenging tasks; on top o…