One of the central ideas behind modern artificial intelligence is surprisingly simple: different parts of a network should not all learn the same lesson. Artificial intelligence systems are built from networks of artificial neurons, loosely inspired by the brain. While the information flows forward through the network, it is transformed at each step until it produces an output such as a sentence, a prediction, or … Continue reading Learning Like a Neural Network: Evidence for Vectorized Credit Assignment in the Brain