What Neural Networks teach us about Schizophrenia

Pretrained Artificial Neural Networks used to work like a Blackbox: You hand them an input and they predict an output with a certain probability — but without us knowing the internal processes of how they came up with their prediction. A Neural Network to recognize images usually consists of around 20 neuron layers, trained with millions of images to tweak the network parameters to give high quality classifications.

The layers consist of neurons that are trained to only forward information if they recognize one specific image feature, resulting…