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How Computationally Complex Is a Single Neuron?
Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells.
Neurons Unexpectedly Encode Information in the Timing of Their Firing
A temporal pattern of activity observed in human brains may explain how we can learn so quickly.
‘Social’ Mitochondria, Whispering Between Cells, Influence Health
Mitochondria appear to communicate and cooperate with one another, both within and between cells. Biologists are only just beginning to understand how and why.
Can Machines Control Our Brains?
Advances in brain-computer interface technology are impressive, but we’re not close to anything resembling mind control.
Artificial Neural Nets Finally Yield Clues to How Brains Learn
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.
The Year in Biology
While the study of the SARS-CoV-2 virus was the most urgent priority, biologists also learned more about how brains process information, how to define individuality and why sleep deprivation kills.
Catherine Dulac Finds Brain Circuitry Behind Sex-Specific Behaviors
Catherine Dulac is overturning preconceptions about “male” and “female” instincts and opening new avenues to treating postpartum depression.
Deep Neural Networks Help to Explain Living Brains
Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.
The Epigenetic Secrets Behind Dopamine, Drug Addiction and Depression
New research links serotonin and dopamine not just to addiction and depression, but to the ability to control genes.