**** We apologize for the multiple copies of this email. In case you are
already registered to the next webinar, you do not need to register
again. ****
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Dear colleague,
We are happy to announce the next webinar in the Language Technology
webinar series organized by the HiTZ Chair of AI< (https://hitz.eus).
You can view the videos of previous webinars and the schedule for
upcoming webinars here: http://www.hitz.eus/webinars
Next webinar:
*Speaker:* Christian Herff (Maastricht University)
*Title:* Speech neuroprostheses based on intracranial EEG
*Date: * Thursday, March 6, 2025 - 15:00 CET
*Summary:* Speech is our most natural way of communication and the loss
of the ability to speak is therefore devastating to patients. A speech
neuroprostheses that directly reconstructs speech processes from neural
activity could provide a new means of communications to these severely
affected patients. In this presentation, I will present some approaches
to reconstruct different representations of speech from intracranial
recordings and highlight how they can be used to build a speech
neuroprosthesis. The decoding of speech processes is particularly
challenging, as not only the neural, but also the target signal has
complex, nonlinear dynamics. I will stress the use of interpretable
machine learning models for this task to ensure that meaningful activity
is decoded and scientific insights might be generated as a side product.
*Bio:* Dr. Christian Herff is an assistant professor in the School for
Mental Health and Neuroscience at Maastricht University where he leads
the invasive BCI research line. His research interest lays in the
application of machine learning technology to neurophysiological data
for Brain-Computer Interfaces and neuroscience research. With a
particular focus on the decoding of speech processes from intracranial
data, he tries to improve the lives of severely paralyzed patients while
simultaneously improving our understanding of complex higher order
cognition. He emphasizes the ability to achieve interpretable results
based on computational models. In particular, visualization of complex
dynamic models, such as deep neural networks, is of interest to him.
*
Upcoming webinars:*
· Emanuele Bugliarello (Thursday, April 3, 2025)
· André F. T. Martins (Thursday, May 8, 2025)
· Mirella Lapata (Thursday, June 5, 2025)
If you are interested in participating, please complete this
registration form: http://www.hitz.eus/webinar_izenematea
If you cannot attend this seminar, but you want to be informed of the
following HiTZ webinars, please complete this registration form instead:
http://www.hitz.eus/webinar_info
Best wishes,
HiTZ Zentroa
P.S: HiTZ will not grant any type of certificate for attendance at these
webinars.
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