Abstract representations emerge naturally in neural networks trained to perform multiple tasks

Abstract

How animals learn to generalize from one context to another remains unresolved. Here, the authors show that the abstract representations that are thought to underlie this form of generalization emerge naturally in neural networks trained to perform multiple tasks.