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. 2019 Aug 15;197:425–434. doi: 10.1016/j.neuroimage.2019.04.068

Table 1.

Tested and optimal hyperparameter values.

Parameter Tested Optimal
Number of latent sources 16,32,64 32
Temporal filter length 3,5,7,9,11 7
Learning rate 1⋅10−3, 3⋅10−4, 1⋅10−4 3⋅10−4
l1 -penalty 1⋅10−3, 3⋅10−4, 1⋅10−4 3⋅10−4
Pooling max max
Pooling factor 2,3,5 2
Drop-out coefficient 0.25, 0.50, 0.75, 0.90 0.50
Input layer link function identity, ReLU, ELU, tanh identity
Hidden layer link function identity, ReLU, ELU, tanh ReLU
Output nonlinearity sigmoid, softmax softmax
Number of dense hidden layers 1,2 1