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.”
The 2019 Nobel Prize in Physiology or Medicine honored William Kaelin Jr., Peter Ratcliffe and Gregg Semenza for their work on elucidating how cells adjust to low oxygen levels.
Beneath our awareness, the brain lets certain kinds of stimuli automatically capture our attention by lowering the priority of the rest.
A brain circuit that suppresses distracting sensory information holds important clues about attention and other cognitive processes.