MEG Signal Modeling using Recurrent Neural Networks

This is a short update to my earlier post from 2015 on modeling MEG signals using CRBMs. CRBMs were outdated already at the time I wrote the post and one of the development areas was to try out recurrent neural networks (RNNs). I'm describing here the results of my weekend project on applying RNNs to time series prediction of MEG data. …

Modeling MEG signals using CRBMs

Machine learning appears to be a hot topic nowadays - which is a good excuse for me to write my first post about Conditional Restricted Boltzmann Machines (CRBMs). I gather here my results on applying CRBMs to magnetoencephalographic (MEG) signals to create a generative model that produces oscillations which resemble the original data. Don't expect anything too scientific from this …