Brains

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.

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.

How does consciousness arise in mere flesh and blood? To the neuroscientist Anil Seth, our organic bodies are the key to the experience.

New work shows that neurons and other brain cells use DNA double-strand breaks, often associated with cancer, neurodegeneration and aging, to quickly express genes related to learning and memory.

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.

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.

Eve Marder’s research into the plasticity and resilience of nervous systems finds universal principles guiding life’s responses to stress.

Advances in brain-computer interface technology are impressive, but we’re not close to anything resembling mind control.