Artificial Intelligence in Signal & Data Processing

Call for persenters is now open

The use of Artificial Intelligence and machine learning in basic research and clinical neuroscience is increasing. AI methods provide novel insight into the field of neural signal processing, enable the interpretation of large multimodal datasets, potentially paving the way for earlier and more accurate detection of brain disorders and better informed intervention protocols. The workshop will bring together brain researchers from various focus areas including but not limited to neural signal, brain-computer interfaces, neuroimaging as well as data science and machine learning.

Whether you are new to AI for signal processing or designing comprehensive AI systems, join the dialogue to advance your skills and help you with your next project.

  • No submission fee
  • Free speaking and demonstration opportunity
  • Complimentary full registration
  • Guest tickets
  • Conference catalogue entry

What we’re looking for

Here are some topics that we are interested in to get your ideas flowing. This is not an exhaustive list, if you think you have something to talk about that would be of interest to our community, please submit it.

  • Develop and validate artificial intelligence (AI)-based neural signal processing techniques.
  • New tools for signal estimation, classification, prediction, and manipulation.
  • AI-assisted brain imaging analysis.
  • AI analysis of big neuroscience datasets.
  • Machine learning and deep Learning for EEG big data.
  • Combining AI and neuroscience to detect and predict neurological disorders.
  • AI, machine learning and big data analytics for stimulating neurological research and therapy advances.
  • Apply AI and machine learning in control algorithms for human machine interaction.

Limited spots available, submit your proposal today

After the proposals are reviewed, an email notification will be sent from info@nbt-berlin.de. Make sure to mark this email address as safe so it doesn’t go to spam.

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