top of page
Algorithmic complexity of EEG for neurodegenerative disease progression
As we have already discussed in a previous blog on Brain Consciousness and Complexity, algorithmic complexity is an intrinsic property of...
Oct 19, 20183 min read
Out of body experiences - neural engineering informs brain sciences
Someone knew someone who almost died. And when that happened, this person was able to see their own body, from above, lying in that bed....
Oct 10, 20183 min read
The importance of modeling in tCS
Let’s face it: frogs are not the most glamorous of animals…However, we owe a great deal to them! In 1780, Luigi Galvani found out that...
Aug 29, 20185 min read
Practical BCI Application: the feasibility of asynchronous EEG/EOG BCIs for grasping
Have you ever imagined how many sensors, signal processing and subtasks it takes for the body to process and execute a success command?...
Jul 31, 20183 min read
Clustering Methods in Exploratory Analysis
Clustering methods are in charge of grouping sets of data objects with the aim of finding relationships within the objects that compose...
Jul 6, 20186 min read
The future of AI in Neuroscience
Artificial intelligence (AI) refers to the development of a computer system that can perform tasks with minimal human interaction. AI can...
Jun 15, 20184 min read
Monitoring effects of Transcranial Current Stimulation with EEG, fMRI, MEG, NIRS.
Transcranial current stimulation (tCS) seems to be a powerful tool to make the link between brain function and disease. This has been...
May 8, 20184 min read
How can we apply AI, Machine Learning or Deep Learning to EEG?
Artificial Intelligence (AI) has been part of our imaginations and simmering in research labs since a group of computer scientists...
Mar 7, 20183 min read
bottom of page