Program

 

Date: June 5th

Time schedule
2:00 PM - 3:40 PM: Invited talks
4:00 PM - 5:30 PM: Paper presentations

Invited talks

Some leaders in the field of EEG processing will present their ongoing work in emerging fields in EEG processing (chaired by Prof. Maarten De Vos and Dr. Huy Phan).

  • 2:00 PM - 2:25 PM

    Elisabeth Heremans – KU Leuven, Leuven, Belgium, Dr. Huy Phan – Amazon Alexa, Seattle, United States of America

    Automatic sleep staging: recent development, challenges and future directions

  • 2:25 PM - 2:50 PM

    Prof. Alexandre Gramfort – Meta Reality Labs, Paris, France

    From self-supervised learning to data augmentation on EEG signals

  • 2:50 PM - 3:15 PM

    Dr. Catarina da Silva Lourenço – University of Twente, Enschede, The Netherlands

    Deep Learning for detection of epileptiform discharges in human EEG recordings

  • 3:15 PM - 3:40 PM

    Dr. Samaneh Nasiri – Harvard University, Boston, United States of America

    Generalizability of machine learning models for electrophysiology

 

Paper presentations

The following papers will be presented (chaired by Prof. Alexandre Gramfort and Nick Seeuws):

  • 4:00 PM - 4:15 PM Decoding Auditory Attention from EEG Data using Cepstral Analysis

    Emina Alickovic (Eriksholm Research Centre); Carlos Fransico Mendoza (Eriksholm Research Centre); Andrew Segar (Eriksholm Research Centre); Maria Sandsten (Lund University); Martin A Skoglund (Linköping University)*

  • 4:15 PM - 4:30PM Topological analysis of low dimensional phase space trajectories of high dimensional EEG signals for classification of interictal epileptiform discharges

    Annika Stiehl (University of Applied Sciences Ansbach)*; Martina Flammer (Julius-Maximilians-Universität Würzburg); Fabienne Anselstetter (BESA GmbH); Nicole Ille (BESA GmbH); Harald Bornfleth (BESA GmbH); Stefan Geißelsöder (University of Applied Sciences Ansbach); Christian Uhl (University of Applied Sciences)

  • 4:30 PM - 4:45 PM Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM

    Seline J de Rooij (Delft University of Technology)*; Kim Batselier (Delft University of Technology ); Borbala Hunyadi (TUDelft)

  • 4:45 PM - 5:00 PM Novel Approach Explains Spatio-Spectral Interactions in Raw Electroencephalogram Deep Learning Classifiers

    Charles A Ellis (TReNDS)*; Abhinav Sattiraju (TReNDS); Robyn Miller (TReNDS); Vince Calhoun (TReNDS)

  • 5:00 PM - 5:15 PM Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals

    Eleonora Lopez (Sapienza University of Rome)*; Eleonora Chiarantano (Sapienza University of Rome); Eleonora Grassucci (Sapienza University of Rome); Danilo Comminiello (Sapienza University of Rome)

  • 5:15 PM - 5:30 PM EEG Source Estimation Using Deep Prior without a Subject’s Individual Lead Field

    Naoki Hojo (Kobe University)*; Hajime Yano (Kobe University); Ryoichi Takashima (Kobe University); Tetsuya Takiguchi (Kobe University); Seiji Nakagawa (Chiba University)

  • 5:30 PM - 5:45 PM A new Multiway MFDM based technique for EEG Source Localisation and Interpretation

    Anchal yadav (Indian Institute of Technology)*; Monika Agrawal (IIT); S D Joshi (Indian Institute of Technology Delhi)