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Keynote Lectures

Neural Engineering: Restoring, Replacing, and Extending Cognition
Moritz Grosse-Wentrup, Max Planck Institute for Inteligent Systems, Germany

Available Soon
Eugenio Guglielmelli, Università Campus Bio-Medico, Italy

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Sergi Bermudez i Badia, Madeira Interactive Technologies Institute/Universidade da Madeira, Portugal

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Mónica Cameirão, Universidade da Madeira, Portugal

 

Neural Engineering: Restoring, Replacing, and Extending Cognition

Moritz Grosse-Wentrup
Max Planck Institute for Inteligent Systems
Germany
 

Brief Bio
Moritz Grosse-Wentrup is a group leader at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He studied engineering at the Technische Universität München and the University of Maryland, College Park. After obtaing his Dr.-Ing. at the Technische Universität München, he worked as a postdoc with Bernhard Schölkopf at the Max Planck Institute for Biological Cybernetics. He has been the recipient of the 2011 Annual BCI Research Award and the 2016 IEEE Brain Initiative Best Paper Award. He serves as chair of the steering committee for the International Workshop on Pattern Recognition for Neuroimaging (PRNI) and is a founding member of the EURASIP special area team for Biomedical Image and Signal Analysis. His research focuses on machine learning for neural engineering, with applications in brain-computer interfacing for communication and rehabilitation.


Abstract
Neural engineering restores, replaces, or extends cognitive functions by establishing bi-directional interfaces to the brain. These interfaces require sensors to record neural activity, machine learning algorithms to decode cognitive states from neural signals in real-time, and actuators to steer neural activity towards desired target states. In this talk, I give an overview of the primary challenges for neural engineering and highlight solutions developed in my group. On the algorithmic side, I focus on two key problems: How can we build brain decoding models that generalise across heterogeneous subjects, and how can we use these models to predict how neural activity should be altered, e.g., by transcranial electrical stimulation, to achieve a desired cognitive state? On the hardware side, I present a low-cost system that enables high-quality EEG recordings outside of laboratory environments, and introduce a brain-robot interface that combines real-time brain decoding with haptic feedback. I demonstrate the impact of our work on two translational projects in the domain of personalised medicine: A brain-computer interface for communication with severely paralysed patients in late-stages of amyotrophic lateral sclerosis, and a brain-robot interface for post-stroke motor rehabilitation. I conclude by outlining my vision for translating neural engineering into everyday applications that benefit patient populations as well as healthy users.



 

 

Keynote Lecture

Eugenio Guglielmelli
Università Campus Bio-Medico
Italy
 

Brief Bio
Eugenio Guglielmelli received the Laurea degree in Electronics Engineering and the PhD in Biomedical Robotics from the University of Pisa, Italy, in 1991 and in 1995. He is currently Full Professor of Bioengineering at Campus Bio-Medico University (Roma, Italy) where he serves as the Head of the Laboratory of Biomedical Robotics and Biomicrosystems, that he founded in 2004. From 1991 to 2004 he worked with prof. Paolo Dario at the Advanced Robotics Technology & Systems Laboratory (ARTS Lab) of the Scuola Superiore SantÕAnna (Pisa, Italy). From 2002 to 2004 he served as the Coordinator of the ARTS Lab.
His main current research interests are in the fields of human-centred robotics, biomechatronic design and biomorphic control of robotic systems, and in their application to robot-mediated motor therapy, assistive robotics, and neurorobotics. He is principal investigator and partner of several national and international projects in the area of biomedical robotics.


Abstract
Available Soon



 

 

Keynote Lecture

Sergi Bermudez i Badia
Madeira Interactive Technologies Institute/Universidade da Madeira
Portugal
 

Brief Bio
Sergi Bermúdez i Badia is a Senior Researcher at the Madeira Interactive Technologies Institute (Madeira-ITI), and Assistant Professor at the University of Madeira (UMa) and Adjunct Faculty of the Human Computer Interaction Institute of Carnegie Mellon University (HCII, CMU). He received a degree in telecommunications engineering from the Universitat Politècnica de Catalunya (UPC) and a PhD from the Swiss Federal Institute of Technology Zürich (ETHZ). He has pursued research at several institutes in Europe and the USA, including the Laboratoire de Production Microtechnique at the EPFL (Lausanne), the Institute of Neuroinformatics at the ETHZ (Zurich), at the Institute of Audiovisual Studies at the Technology Department of the Universitat Pompeu Fabra (Barcelona) and the Quality of Life Technologies and Entertainment technology centers of the Carnegie Mellon University (Pittsburgh). Since he arrived in Madeira, he contributed to the establishment of the NeuroRehabLab research group (http://neurorehabilitation.m-iti.org) with the scientific goal of investigating the use of multimedia, interactive technologies and robots to exploit them in real world applications, with special emphasis in neuro-rehabilitation systems, educational and entertainment applications.


Abstract
Available Soon



 

 

Keynote Lecture

Mónica Cameirão
Universidade da Madeira
Portugal
 

Brief Bio
Available Soon


Abstract
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