BCI Evolution-Exploring Opportunities

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 that may have evolved so far, namely, replace, restore, improve, supplement and enhance. Communication is […]

Support Vector Machines: What they do and their best ‘trick’

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 EEG/ECG classification (e.g. neurodegenerative diseases) or time-series classification. This type of algorithms model the dependence […]

Get your brain fit

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 number. As we know, the brain is plastic so we can create new connections and […]

Music from the brain: a new way of communication for patients with severe speech disabilities.

In this post I would like to introduce the concept of BrainPolyphony, a CRG Awards-founded project in which  Centre de Regulació Genòmica (CRG), Universitat de Barcelona, Mobilitylab, ASDI and Starlab will explore new ways of communication for patients suffering from severe speech disabilities. Patients with neurodegenerative diseases, such as cerebral palsy, often experience important communication problems. […]

10 best data sources for neuroinformatics research

– Neuro… what? What on earth is neuroinformatics… you mean, bioinformatics? Indeed neuroinformatics takes inspiration from bioinformatics, which refers to the combination of omics data (genomic, transcriptomic, proteomic…) and its understanding with machine learning tools (well, and other computer science disciplines). Bioinformatics has brought enormous advances for instance in cancer research, which was itself one […]

Neuroelectrics Asian Tour

During the last 3 weeks, I had the chance to travel to 3 amazing cities: Singapore, Hong Kong and Japan. The main objective was to attend the “1st International Brain Stimulation Conference” in Singapore and then the “2015 International Workshop on Clinical Brain Neural-Machine Interface Systems”. As there were some days between both conferences, I stopped […]

Visual Perception

The most important component of a digital camera is the image sensor. Nowadays CCD and CMOS sensors monopolise the digital market. Those sensors capture a continuous signal—the light—which is converted through a filtering process into discrete signals. Within this process, simplified here in one line, the element that controls the white balance level is key. The same […]

Consumer brain-computer interfaces, are we there yet?

In the last few weeks I’ve attended two very different events related to consumer BCIs; the “Wearables” session at MWC in Barcelona and the “BCI for the masses” panel at IBT in Tel Aviv. The wearables session at MWC was, as you might expect, mainly about fitness trackers and watches. Pebble, Fitbit and Misfit/Swarovski presented […]

Data visualisation

Following our intent of providing the reader a complete guidebook to physiological data processing, we already talked about where to find data, or how to collect it, how to analyse it and which tools to use, and even how to face possible negative results. However, one of the important steps we didn’t yet cover is data visualisation. […]

Applied Neuroscience from scratch

It has been six years since I started working in Starlab. For the first year and a half I was involved in projects from the Space department inside the company. Then I became a member of the Applied Neuroscience team. By that time I asked myself what could I do, a complete neuroscience outsider, in […]