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By paying more attention to behaviors, and not just the activity of neurons, two researchers critical of most neuroscience learned how brains make sense of spoken language.
Faced with a navigational challenge, neural networks spontaneously evolved units resembling the grid cells that help living animals find their way.
A technique based on genetic bar codes can easily map the connections of individual brain cells in unprecedented numbers. Unexpected complexity in the visual system is only the first secret it has revealed.
Using a brain-computer interface, scientists are beginning to learn why learning is hard.
Researchers are building a case that long before the nervous system works, the brain sends crucial bioelectric signals to guide the growth of embryonic tissues.
Stimulating part of the cortex as needed during learning tasks improves later recall. The finding reveals more about the brain’s memory network and points toward possible therapies.
The neuroscientist Erich Jarvis found that songbirds’ vocal skills and humans’ spoken language are both rooted in neural pathways for controlling learned movements.
By developing new tools for visualizing subcellular structure and activity in molecular detail, Ed Boyden advances on his goal of understanding how the brain works.
Nobel laureate Susumu Tonegawa’s lab is overturning old assumptions about how memories form, how recall works and whether lost memories might be restored from “silent engrams.”