“Imagining the future depends on much of the same neural machinery that is needed for remembering the past,” he writes.

She notes that a similar decline in gray matter volume occurs during adolescence, when neural networks are fine-tuned for more efficiency and more specialized functions. 

Neural networks learn without being explicitly programmed but generally require an enormous breadth and diversity of data.