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A temporal pattern of activity observed in human brains may explain how we can learn so quickly.
Studies of sleep are usually neurological. But some of nature’s simplest animals suggest that sleep evolved for metabolic reasons, long before brains even existed.
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.
By digging out signals hidden within the brain’s electrical chatter, scientists are getting new insights into sleep, aging and more.
Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.
New research links serotonin and dopamine not just to addiction and depression, but to the ability to control genes.
Research hints that the energy-generating organelles of cells may play a surprisingly pivotal role in mediating anxiety and depression.
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