How to study consciousness in the electric brain?

Last April Starlab kicked-off the H2020 FET Open Luminous[1]. We are very proud to coordinate one of the 11 projects out of 800 selected for funding in last year’s Call of the FET Open[2] program, one of the most competitive programs within the European funding landscape. The project aims to study consciousness by combining the […]

8 reasons why affective computing should be multimodal and include EEG

Recently my colleagues Javier Acedo and Marta Castellano posted about ExperienceLab, Neurokai’s platform for characterizing the emotional response of users, and its very last presentation in an art exhibition discussing technology-driven evolution of humans. As you might already know ExperienceLab gathers data of a user when perceiving an external stimulus and associates an arousal and […]

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 […]

Biological Psychiatry

  Today I would like to relate Machine Learning to different concepts like biological psychiatry, stratified medicine, or the “subjectivity gap between neuroscience research and the clinical reality for patients with mental disorders”. Behind all these concepts there is a redefinition of the diagnostic process, which should incorporate more and more objective data. Although this […]

Quick and Dirty Guide on Transcranial Current Stimulation

While heading to Petronas Technology University where I will give a course on transcranial current stimulation (tCS) basics I summarized the basics of the technology and particularly on Starstim, the device we envisioned and started to develop within the HIVE project. tCS devices allow the controlled injection of low-amplitude electrical currents into the cerebral cortex […]

How To Understand The Machine Learning Family

In former posts I have given a quick-and-dirty overview of Machine Learning and related methodologies: “what most people call machine learning in neuroscience academic texts is known in other research contexts as pattern recognition, data mining, artificial intelligence (AI), computational intelligence (CI), soft computing (SC), or data analytics. All of these refer to more or […]

What the hell is Data Fusion?

Fusion seems, at first sight, to be a complex issue. When we hear fusion we might first associate it with the physics concept of nuclear fusion or in a more mundane sense that of music fusion. In the former, two or more atoms are joined together to form a heavier atom, whereas two musical styles […]