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Machine Learning for Real-Time BCIs by J Andrés Salas is a document available to read on EtoBox.

What is Machine Learning for Real-Time BCIs about?

The ESANN 2024 special session focuses on modern machine learning methods for robust and real-time brain-computer interfaces (BCIs), addressing the need for a balance between accuracy and speed in BCI systems. The session invites submissions on topics including signal processing, classification algorithms, and real-time BCI system development. Organized by experts from various institutions, the deadline for submissions is May 2, 2024.

Author

J Andrés Salas

Language

EN