A Novel Time-Incremental End-to-End Shared Neural Network with Attention-Based Feature Fusion for Multiclass Motor Imagery Recognition

<div>The relationship between the training loss rate, accuracy curve, and iterations. We repeated the training process of the network model for 500 times.</div>

Computational Intelligence and Neuroscience

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Figure 8

Figure 8: A Novel Time-Incremental End-to-End Shared Neural Network with Attention-Based Feature Fusion for Multiclass Motor Imagery Recognition 