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

Table 1

The details of the network model.

Layers	Type
Conv 1	Convolution 1 × 5
Norm 1	Batch normalization
Pool 1	Max pooling 1 × 2
Conv 2	Convolution 1 × 3
Norm 2	Batch normalization
Pool 2	Max pooling 1 × 2
Drop 2	Dropout layer
Conv 3	Convolution 1 × 3
Norm 3	Batch normalization
Drop 3	Dropout layer
Conv 4	Convolution 1 × 3
Norm 4	Batch normalization
Flattened	Flattened layer
LSTM 1	BiLSTM layer 32
LSTM 2	BiLSTM layer 20
Fc 5	Fully connected layer
Drop 5	Dropout layer
Attention	Attention layer
Fc 6	Fully connected layer
Classification	Softmax layer