Faced with a decision, the brain weighs its options by bundling them into rapidly alternating cycles of brain waves.
For decades, scientists have been intrigued by tiny viruses whose genetic material can be read both forward and backward. New research begins to explain this puzzling property.
Collaborations in progress between ethicists and biologists seek to head off challenges raised by lab-grown “organoids” as they become increasingly similar to human brain tissue.
The dendritic arms of some human neurons can perform logic operations that once seemed to require whole neural networks.
In evolution, context is everything: Bacteria with neighbors evolve to rebuff viruses in a different way.
Machine learning and deep neural networks can capture and analyze the “language” of animal behavior in ways that go beyond what’s humanly possible.
Activity in the visual cortex and other sensory areas is dominated by signals about body movements, down to little tics and twitches. Scientists are now rethinking how they study and conceive of perception.
Researchers have discovered a surprising mathematical relationship in the brain’s representations of sensory information, with possible applications to AI research.
John Goodenough, M. Stanley Whittingham and Akira Yoshino shared the 2019 Nobel Prize in Chemistry for developing lithium-ion batteries, “the hidden workhorses of the mobile era.”