I am happy to announce that last week I presented my first poster at the First Joint Congress of the SEPEX, SEPNECA and AIP experimental in Madrid, Spain. Yey! The poster summarized my master’s thesis findings of a BCI driven by EEG alpha power when using covert visuospatial attention. You can find more information and…
Category: My Research
The importance of phase in EEG-based Brain-Computer Interfaces
In the world that we live, we have to react to sensory inputs all the time: the hustle and bustle of the city (traffic lights, cars, bikes…), notifications popping up in our screen, concerts… Taking the traffic light as an example, has ever happened to you that when you are waiting to cross and the…
Mneuronic: A mnemonic system based on stimulation-free neuroimaging
MNeuronic is a neurotech device that helps users to improve memory retention. The system capitalizes on the natural fluctuations of neural excitability in the human brain using real-time phase prediction. This confers two important strengths: efficiency and temporal precision. In this way, MNeuronic anticipates upcoming optimal brain states before they occur (rather than reacting to past…
2nd Brain Twitter Conference
I participated in the second edition of the Brain Twitter Conference, which is a virtual conference that takes place on Twitter. In this way, the conference removes the hassle of travel by allowing scientists to meet and interact using Twitter. Just like a regular conference, I delivered my talk via a series of tweets in…
A closed-loop BCI based on EEG alpha activity modulated by covert visuospatial attention – Intro
Alpha oscillations (8-14 Hz) are one of the most prominent electrophysiological signals from the human scalp. Previous research demonstrated that alpha activity is modulated by covert spatial attention and these modulations could be used as a control signal for brain-computer interface (BCI). The main goal of this study was to build a classifier, on a…
