MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex
Fig 7
SSM between best layer in trained VGG16/MouseNet and mouse brain regions.
The plot shows results of 3 instances of VGG16 (with validation accuracy 60.46, 60.72, 60.93) and 4 instances of MouseNet (with validation accuracy 37.46, 37.95, 37.52, 37.49) trained from different initialization weights. Yellow lines denote the best noise ceiling; their widths are standard deviations calculated from multiple draws of non-overlapping trials as in Fig 4. Dotted black lines are the SSM values between the 64x64 pixel input and the corresponding regions. Black stars denote the statistical significance of two-sample t-test between the mean of the trained VGG16 and the trained MouseNet instances (one star: p < 0.05, two stars: p < 0.01, three stars: p < 0.001).