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UID:20260521T052543Z - 70681@eupp247
DTSTART;TZID=Europe/Berlin:20201028T150000
DTEND;TZID=Europe/Berlin:20201028T160000
CREATED:20260521T052543Z
DESCRIPTION:<a href="https://academy.ant-neuro.com/event/spontaneous-eeg-ba
 sed-plug-and-play-brain-computer-interfaces-on-usability-and-co-adaptation
 -29/register">Spontaneous EEG-based ‘Plug and Play’ Brain-Computer Int
 erfaces:   On Usability and Co-adaptation</a>\nThis webinar has ended. You
  can watch the recorded session here. Welcome to ANT Neuro Educational Web
 inar Series! This presentation will take you on a 10-year journey and tell
 s you about the challenges and opportunities we have faced in developing s
 pontaneous electroencephalogram (EEG)-based ‘Plug and Play’ Brain-Comp
 uter Interfaces (BCIs). The objective of a BCI is to translate EEG pattern
 s into messages. BCI user generate EEG patterns by performing associated m
 ental tasks that elicit different mental states. Which mental task is best
 ? How to ensure user reliably generate these patterns? How to train the BC
 I to robustly detect the pattern? How to do this outside of the lab? How w
 ith patients? How fully automatically? The presenter is Prof. Dr. Reinhold
  Scherer who is the professor in Brain-Computer Interfaces (BCI) and Neura
 l Engineering (NE) in the School of Computer Science and Electronic Engine
 ering \, University of Essex\, Colchester\, England and co-director of the
  Essex BCI-NE laboratory. He received his PhD degree in computer science f
 rom Technische Universität Graz (TUG)\, Austria\, was postdoctoral resear
 cher at the Department for Computer Science & Engineering\, University of 
 Washington\, Seattle\, USA and deputy head of the Institute of Neural Engi
 neering at TUG. He has gained extensive experience in the fields of direct
  Brain-Computer interfacing\, statistical and adaptive signal processing a
 nd robotics-mediated rehabilitation. The registration deadline is 11:00 (C
 EST) on October 28th. Looking forward to welcoming you to this webinar! Or
 ganization team ANT Neuro Education Department [event ID: 4359] DISCLAIMER
 - Any medical information is provided as a general information service onl
 y\, and is not intended as a substitute for advice from a registered physi
 cian or other healthcare professional.
DTSTAMP:20260521T052543Z
LOCATION:Online
SUMMARY:Spontaneous EEG-based ‘Plug and Play’ Brain-Computer Interfaces
 :   On Usability and Co-adaptation
X-ALT-DESC;FMTTYPE=text/html:<a href="https://academy.ant-neuro.com/event/s
 pontaneous-eeg-based-plug-and-play-brain-computer-interfaces-on-usability-
 and-co-adaptation-29/register">Spontaneous EEG-based ‘Plug and Play’ B
 rain-Computer Interfaces:   On Usability and Co-adaptation</a>\nThis webin
 ar has ended. You can watch the recorded session here. Welcome to ANT Neur
 o Educational Webinar Series! This presentation will take you on a 10-year
  journey and tells you about the challenges and opportunities we have face
 d in developing spontaneous electroencephalogram (EEG)-based ‘Plug and P
 lay’ Brain-Computer Interfaces (BCIs). The objective of a BCI is to tran
 slate EEG patterns into messages. BCI user generate EEG patterns by perfor
 ming associated mental tasks that elicit different mental states. Which me
 ntal task is best? How to ensure user reliably generate these patterns? Ho
 w to train the BCI to robustly detect the pattern? How to do this outside 
 of the lab? How with patients? How fully automatically? The presenter is P
 rof. Dr. Reinhold Scherer who is the professor in Brain-Computer Interface
 s (BCI) and Neural Engineering (NE) in the School of Computer Science and 
 Electronic Engineering \, University of Essex\, Colchester\, England and c
 o-director of the Essex BCI-NE laboratory. He received his PhD degree in c
 omputer science from Technische Universität Graz (TUG)\, Austria\, was po
 stdoctoral researcher at the Department for Computer Science & Engineering
 \, University of Washington\, Seattle\, USA and deputy head of the Institu
 te of Neural Engineering at TUG. He has gained extensive experience in the
  fields of direct Brain-Computer interfacing\, statistical and adaptive si
 gnal processing and robotics-mediated rehabilitation. The registration dea
 dline is 11:00 (CEST) on October 28th. Looking forward to welcoming you to
  this webinar! Organization team ANT Neuro Education Department [event ID:
  4359] DISCLAIMER- Any medical information is provided as a general inform
 ation service only\, and is not intended as a substitute for advice from a
  registered physician or other healthcare professional.
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