Patterns of brain activity are associated with different brain processes and can be used to identify different brain states and make behavioral predictions. However, the relevant features are not readily apparent and accessible. To mine informative latent representations from multichannel EEG recordings, we propose a novel differentiable EEG decoding pipeline consisting of learnable filters and a pre-determined feature extraction module. Read the rest of this entry…
Dr. Dimitrios Adamos and Dr. Stefanos Zafeiriou from the Department of Computing, Imperial College London explore how brain waves can tell you about the music you listen to as part of a Live Science residency at the Science Museum.
The #MyBrainTunes experiment, that ran at the Science Museum from February – March 2020, used the latest technology to monitor human brainwaves while participants listened to music, to predict how much they liked a particular song.
Read more: https://blog.sciencemuseum.org.uk/music-and-the-brain/
A Riemannian geometry approach to reduced and discriminative covariance estimation in Brain Computer Interfaces: Github
The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal yet spectacular setting on Santorini.
The conference series emphasizes interaction with a size and pace that encourages in-depth discussion.
Interested researchers are strongly encouraged to submit an abstract for poster presentation as attendance is strictly limited, and the conference typically sells out.
Abstract submission deadline is 24 Jan, 2020.
Send us your best work!
AREADNE 2020
Research in Encoding and Decoding of Neural Ensembles
Nomikos Conference Centre, Santorini, Greece
16-20 June 2020
http://areadne.org
info@areadne.org
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