Neuroscience

While watching a fearful memory take shape in the brain of a living fish, neuroscientists see an unexpected level of rewiring occur in the synaptic connections.

Algorithms that use the brain’s communication signal can now work on analog neuromorphic chips, which closely mimic our energy-efficient brains.

Researchers have mapped hundreds of semantic categories to the tiny bits of the cortex that represent them in our thoughts and perceptions. What they discovered might change our view of memory.

The electrical chatter of our working memories reflects our uncertainty about their contents.

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.

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.