Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression.
Dhvani ShahGrace Y. WangMaryam Gholami DoborjehZohreh Gholami DoborjehNikola K. KasabovPublished in: ICONIP (3) (2019)
Keyphrases
- eeg data
- deep learning
- brain computer interface
- independent component analysis
- machine learning
- eeg signals
- unsupervised learning
- unsupervised feature learning
- blind source separation
- brain signals
- brain activity
- weakly supervised
- feed forward
- image representation
- biologically inspired
- mental models
- principal component analysis
- biologically plausible
- image classification
- supervised learning
- feature selection
- neural network