In this talk, Sebastian and Taliesin, core developers of the Wolfram Mathematica Deep Learning framework, will be presenting existing work from neuroscientists and machine learning researchers that attempt to reconcile the mechanism of backpropogation used in Deep Learning with what is known about circuits in the brain.