Precision brain imaging of individuals with Parkinson’s disease reveals that the affected circuit is best characterized as a previously described network of brain regions called the somato-cognitive action network. Abnormally high connectivity in this network is associated with Parkinson’s disease and is normalized by effective pharmacological treatment and various brain-stimulation therapies.
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Another way to look at our threshold matrix is as a kind of probability matrix. Instead of offsetting the input pixel by the value given in the threshold matrix, we can instead use the value to sample from the cumulative probability of possible candidate colours, where each colour is assigned a probability or weight . Each colour’s weight represents it’s proportional contribution to the input colour. Colours with greater weight are then more likely to be picked for a given pixel and vice-versa, such that the local average for a given region should converge to that of the original input value. We can call this the N-candidate approach to palette dithering.