MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex
Fig 6
SSM between mouse data in VISp(top)/VISl(middle)/VISal(bottom) L2/3 and all layers in the MouseNet before (blue) and after training (red).
Each line corresponds to the mean of four different MouseNet instances trained from different initialization weights (dots). The x axis includes all the layers in the model in a serial way. The five parallel secondary visual area pathways in the model are in shaded grey background. Black stars denote the the pvalues of two-sample t-test with Benjamini/Hochberg correction of 22 comparisons within one brain area is less than 0.05; Red stars denote the pvalues of two-sample t-test with Benjamini/Hochberg correction of all 9x22 comparisons across all 9 brain areas is less than 0.05.