[ad_1]   Traditional neuroscience has reached an impasse, a plateauing in understanding. Mainly relying on technological advancements to further its understanding of the brain’s neurology, it is now severely lacking in theory. Pure data gives little insight without theory, yet neuroscience struggles with theory generation in its traditional framework. Top-down explanations from computational models and mathematical models may help us produce some intuition. Prediction processing does this and more. It unifies all of the brain under essentially one function—prediction.   Philosophical Problems of Traditional Neuroscience “I am half sick of shadows,” said the Lady of Shalott, John William Waterhouse, 1915. Source: Wikimedia Commons   A major philosophical problem in brain science is how to integrate inherently reductionistic neuroscience with higher-level explanations of the brain and behavior, like psychology and cognition. Even if these were just folk psychology concepts, it is unlikely that we could eliminate them. Brain imaging mapping locations of activity to functions has proven to help little to bridge the gap and has shown itself to be poor in producing theories.   Even …