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Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction
Each layer in the networks trained using DBPC learn to predict the activities of neurons in the previous and next layer which allows the network to simultaneously perform classification and reconstruction tasks using feedforward and feedback propagation, respectively.
A Many Objective Optimization Approach for Transfer Learning in EEG Classification
This work aims at knowledge transfer to classify EEG of the target subject using a classifier trained with the EEG of another unit source subject.
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