Category: EEG

Neuroscience is a lot like problem-solving. You’ve got your raw data, your tools, and your methods. But here’s the catch—whether you’re trying to make sense of EEG signals or digging through piles of information, your success depends on the choices you make. In this case, we’re talking MATLAB and Python, specifically MNE, as your tools…

Imagine stepping into a bustling city. The hum of activity is palpable, with people moving in a coordinated chaos, their lives intersecting in a complex dance. This city is the human brain, a marvel of biological engineering where every thought, sensation, and action originates. To understand this city, to truly grasp its essence, we need…

Phase, man, it’s the secret ingredient in the stew of brainwaves that gives everything its distinctive flavor. Picture the brain as an underground jazz club, each neuron a musician, every spike and dip a note in a never-ending improvisation. The rhythms are complex, the beats syncopated, and the phase—well, the phase is the timing, the…

Time frequency analysis in EEG and MEG is like diving into the murky depths of a culinary tradition, unearthing layers of history, culture, and intricate flavors that tell a story far beyond what meets the eye. The brain, like a great stew, is a concoction of ingredients simmering together in a complex dance of signals…