Science & Research

Multimodal platform that enables simple, flexible and reliable neuroscience research, integrating more than 30 complementary technologies.

June 29, 2020
One of the first questions to answer when we approach a research methodology that involves the recording of multiple devices is always: how do I synchronize the various signals? Due to the fact that there are many different systems and devices used by researchers that come from multiple vendors, or are developed by the researchers themselves, this is always one of the first problems to solve.
June 5, 2020
Electroencephalography (EEG)-based neurotechnology not only offers us new alternatives to interact with our environment directly via our brain, but also promises to improve our human functions. In this post, we will discuss how to exploit these technologies as a rehabilitative tool for people with nervous system damage, and how to facilitate human enhancement for the general population.
May 21, 2020
Neurofeedback is a human enhancement technique aimed at providing cognitive improvements in psychological variables such as memory, attention, processing speed or executive functions. We describe herein neurofeedback and biofeedback techniques, the science behind one of the most validated protocols, the new trends in modern approaches, influenced by the advances in brain-computer interfaces, and some use cases and scientific results.
May 5, 2020
Eye tracking has become an invaluable tool for understanding attention, visual behavior and human behavior in a number of diverse fields, from psychology, neurophysiology, user experience, market research, etc. The technology can also be used for medical analysis and screening, and it provides a new method of interaction. Historically, eye tracking systems were invasive and immobile, and therefore useful only in very limited experiments.
April 23, 2020
EEG systems capture information about many different aspects of our cognition, behavior, and emotions. The technology not only helps to study the brain, but also has applications in health, in affective and emotional monitoring, and in human improvement. However, EEG data is not easy to interpret: it has a lot of noise, varies significantly between individuals and, even for the same person, changes substantially over time.
April 10, 2020
Implicit measures became very popular years ago by the academics, and many researchers employed them to analyze biases in racial groups, gender, sexuality, age, and religion, as well as to assess self-esteem in clinical psychology. Today, other applications in market research have emerged to gather information on implicit preferences of products, brands, politicians, and celebrities, and to reveal which attributes are more inherently associated with these concepts.