brains

Tiny amounts of artificial noise can fool neural networks, but not humans. Some researchers are looking to neuroscience for a fix.

Rapid advances in large-scale connectomics are beginning to spotlight the importance of individual variations in the neural circuitry. They also highlight the limitations of “wiring diagrams” alone.

Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy.

The brain not only helps to regulate immune responses, but also stores and retrieves “memories” of them.

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.

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.