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Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategy to teach their virtual agents new tricks.
The detailed understanding of brains and multicellular bodies reached new heights this year, while the genomes of the COVID-19 virus and various organisms yielded more surprises.
Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy.
Scientists thought that the brain’s hearing centers might just process speech along with other sounds. But new work suggests that speech gets some special treatment very early on.
When animals move through 3D spaces, the neat system of grid cell activity they use for navigating on flat surfaces gets more disorderly. That has implications for some ideas about memory and other processes.
Familiar categories of mental functions such as perception, memory and attention reflect our experience of ourselves, but they are misleading about how the brain works. More revealing approaches are emerging.
Crows recently demonstrated an understanding of the concept of zero. It’s only the latest evidence of animals’ talents for numerical abstraction — which may still differ from our own grasp of numbers.
Some populations of neurons simultaneously process sensations and memories. New work shows how the brain rotates those representations to prevent interference.
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.