Connections can be fit as an oriented Gaussian distribution. We should fit the best Gaussian for each hidden unit, then show the distribution of Gaussians (orientation) to validate that our connectivity procedure samples all directions equally.
Similarly, looks like weights might be Gabor-like (off-center, on-surround). We should fit gabors and plot (a) a distribution of goodness-of-fits, (b) a distribution of frequencies, and (c) a distribution of orientations.
Connections can be fit as an oriented Gaussian distribution. We should fit the best Gaussian for each hidden unit, then show the distribution of Gaussians (orientation) to validate that our connectivity procedure samples all directions equally.
Similarly, looks like weights might be Gabor-like (off-center, on-surround). We should fit gabors and plot (a) a distribution of goodness-of-fits, (b) a distribution of frequencies, and (c) a distribution of orientations.