The path from lab research to the market is a tough one. Nearly all funding research calls ask you to report on your exploitation plans, so you need to figure out how the outcomes of your research could go to the market. The truth…
Medical BCI-based applications are still limited. Neuroelectrics is addressing most critical issues so that they can be effectively adopted in clinical settings or in users’ homes. Carabalona et al. (2009) discussed several points that need to be considered when designing,…
In psychology, memory is defined as the process by the brain stores and remembers information from the past. Classical psychological models see memory as a sequential process, where information is first encoded into the brain, and only then can be…
“The easiest path is not always the best” Lobsang Rampa, The Third Eye Ever since I read when I was a teenager Lobsang Rampa’s The Third Eye, I have been fascinated with astral traveling, or as modern science calls it,…
Broadly speaking, when we talk about analysing EEG signals, we are talking about how to use those time-varying signals to classify clinical conditions, behavioural events or predict responses (is the person awake or not? is this person going to develop…
Since its first edition in 1994 Sonar Festival is definitely one of the electronic music festivals you cannot miss. For its sixth consecutive year in Barcelona, Sonar+D organized its famous hackathon along with the Music Technology Group of the Universitat…
Recently in Starlab we conducted some recordings out of the lab. We equipped some volunteers with a bunch of EEG, ECG and GSR sensors along with a GoPro cam so we could capture electro-physiological signals as well as volunteers’ point…
Brain-Computer Interaction (BCI) based technology is thriving and has the potential of spreading into society by addressing the needs of various user groups under different application scenarios. Wolpaw and Wolpaw (2012) identified the five principal BCI scenarios or application types…
In the past years machine learning has been used to address many different problems in neuroscience. When we talk about classification, several algorithms have been proposed for specific tasks. For instance, in Starlab we have used discriminative learning algorithms for…
As I have explained in a previous post, we loose about 100 000 neurons per day. But this is not something to be really worried about, since the thing that really matters is the quality of their connections, not their…