Table 1 The CNN layers and parameters.

From: Preparatory activity of anterior insula predicts conflict errors: integrating convolutional neural networks and neural mass models

Layer

Type

Output shape

Kernel

Stride

Param #

1

Input

(None, 726, 19)

0

2

Convolution 1D

(None, 695, 1)

32

1

609

3

Real-valued fast Fourier transform

(None, 348, 1)

0

4

Global maximum pooling

(None, 1)

0

5

Batch normalization

 

2

6

Dense

(None, 2)

4

Total (non-trainable)

  

615 (2)