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Posts tagged “independent component analysis

The third lecture!?

It’s time! Okay not quite, but very soon! It’s time for the last of my summer lectures for the interns and I’m excited to wrap this up and focus on other work. There’s a lot going on so maybe first we’ll talk about how my schedule conflict shaped up, what I’ll be teaching, and why I love this class so much. I’ve been debating about making a seperate post to share the knowledge. Since I did that last year, with the classes I’m teaching this year, I don’t know if it makes sense. Maybe a review would be in order anyway…


Intro to ICA

Independent component analysis, probably not something you hear about all that often unless you’re in a field that uses it. If you’ve found this via google or the such, then you’re probably looking for an explanation on what the heck ICA is and how to use it. Fear not, today we’re going over the why of ICA, why it works, why we use it, and why it isn’t the perfect tool we wish it was. Hint, the reason it isn’t perfect is because of math, stupid math. Quick note, I’ll be focusing on EEG uses for ICA, but there are tons of other applications and this knowledge will still apply to them as well.


EEG Cleaning: ICA and Dipoles

This is (a very, very, small portion) of the data I’m working with for this post!

Let it be known that I’m a person of my word and today we’re going to give a rather broad overview of ICA and dipoles. Don’t know what those words mean? Well start here and that will give you a high level view of the entire process. Today we’re going to do a slightly deeper dive into what the heck a dipole is, why we use it for ICA and why ICA is so helpful in EEG data processing. Sound like a lot? Well it is, but let’s take a crack at it anyway!