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…


A team of Greek scientists has discovered how to tell how much you like a particular song by literally reading your mind. And they want to fit it into Spotify, Apple Music, and other similar online music streaming services. No more stars. No more likes and dislikes. No more hearts. It will all happen automatically.
The full article by Quartz.com is available here

Since the beginning of the twenty-first century, the digital revolution has radically affected the music industry and is continuously reforming the business model of music economy. As of today, previously-established channels of music distribution have been replaced and new industry stakeholders have emerged. Among them, on-demand music recommendation and streaming services feature as the disruptive innovators of the new digital music ecosystem. Read the rest of this entry…

A kickstarter campaign towards the neural assessment of baseball hit decisions has just launched. PC and mobile apps will offer an interface to compare the user’s performance to that of professional/collegiate players.
Read the rest of this entry…

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