  This report discusses the application of neural networks (NNs) as small
segments of the brain. The networks representing the biological connectome are
altered both spatially and temporally. The degradation techniques applied here
are "weight degradation", "weight scrambling", and variable activation
function. These methods aim to shine light on the study of neurodegenerative
diseases such as Alzheimer's, Huntington's and Parkinson's disease as well as
strokes and brain tumors disrupting the flow of information in the brain's
network. Fundamental insights to memory loss and generalized learning
dysfunction are gained by monitoring the network's error function during
network degradation. The biological significance of each facet is also
discussed.
