This post is still being written and revised, so please take any information you can use, but beware of its alpha status. Questions to be dealt with on this page: What is the reasoning behind applying ICA on a data (sub)set and then transferring its weight matrix to another? What exactly does such a transfer/transfusion …
This post is still being written and revised, so please take any information you can use, but beware of its alpha status. On this page I take an in depth look at an a-typical ICA decomposition of a data set consisting of concatenated recordings of a single subject across four conditions (sitting, standing, walking and …
Independent component analysis is an artificial neural network algorithm that is very good at extracting statistically independent signals/features/sources from a variety of data inputs, and does this already very well when purely data driven, meaning: It is able to do so without guidance (‘blind source separation’) and is often explained using the cocktail-party effect. Among …
A timelapse of statistically highly correlated mental events: *Those ICA decompositions do take their time…* (After the second time running Infomax ICA in BVA) *Well, this seems quite a bit faster! And it even gives me an estimate of when it finishes!* (Running AMICA on the same system 4 months later) *What if I installed …
This post is still being written and revised, so please take any information you can use, but beware of its alpha status. As mentioned, over the past months I have had a long look at EEG data recorded from subjects in various states of locomotion and body posture, and have since tried to make out …