Drawings in untrained neural networks survive the training process

A study reveals that certain patterns initially drawn in untrained neural networks persist even after extensive training. These "skeletons" influence the network's final behavior, challenging the view that training completely overwrites initial structures. The findings suggest innate network architectures play a larger role in learning outcomes than previously thought.