Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors.
Alejandro OjedaKenneth Kreutz-DelgadoJyoti MishraPublished in: Neural Comput. (2021)
Keyphrases
- biologically inspired
- independent component analysis
- eeg data
- signal processing
- source signals
- single channel
- independent components
- principal component analysis
- blind source separation
- image processing
- factor analysis
- receptive fields
- biologically plausible
- independent subspace analysis
- high resolution
- high dimensional
- spiking neural networks
- source separation
- computer vision
- neural network
- humanoid robot
- bayesian framework
- sparse representation
- brain computer interface
- eeg signals
- higher order
- spatio temporal
- multiscale
- blind signal separation