Wonder if huskies are again more wolf than dog in this regard.

I solved the problem with failure to train (see update in original post). It appears that implementing some random spectral shifts and random noise were necessary for training to take off. I will try your suggestions to see if I get better prediction results year over year.

I have a pretty elaborate augmentation process implemented. I will try to randomly shift the mean of each image to see if this helps. Not sure if the fact that all images average to 0 is now a problem.

Yes this is a segmentation problem. I have a preprocessing augmentation function that randomly rotate, flip and translate the images. My network also starts with a gaussiannoise layer which adds some random noise to the input before entering the unet network. I thought it was memorizing input ranges because of the poor performance when images are normalized individually. When I peak at the normalized input images I see the salient patterns I was hoping that the unet would latch onto but training fails. I can rule out bug in the normalization process because I can visualize the normalized input images and they look fine.

You can't exclude women of a serious study based on these silly assumptions that the results might be different. Results in women would provide the kind of nuance in the conclusions that would strengthen this paper. Because this type of study only offers correlations between properties and does not establish causation, you need all the nuances you can get. This is not even a biological study, because it not linking testosterone to other biological functions. It is linking biology to intangible constructs such as generosity so I am not sure what the excuse is. I would argue that if testosterone has this effect on generosity, the effect would be more pronounced in women because this group tends to have lower levels of this hormone in general so any increase in level relative to the average would yield marked differences in generosity. Unfortunately the study does not provide the necessary data to evaluate this hypothesis. Merry Christmas!

Not sure how much culture is a confounding factor here. All subjects are from the same country and pool is only 151 participants. Wonder how strong are the correlations found. Also why exclude women? Testosterone should have the same effect on them no?