neurons

Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.

After decades of frustration, researchers have determined how an airborne scent molecule links to a human smell receptor.

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.

The critical brain hypothesis suggests that neural networks do their best work when connections are not too weak or too strong.

Depression has often been blamed on low levels of serotonin in the brain. That answer is insufficient, but alternatives are coming into view and changing our understanding of the disease.

Momentum for new ideas in Alzheimer’s research joined advances in neuroscience, developmental biology and origin-of-life studies to make 2022 a memorable year of biological insights.

After decades in the shadow of the reigning model for Alzheimer’s disease, alternative explanations are finally getting the attention they deserve.

An energy-efficient chip called NeuRRAM fixes an old design flaw to run large-scale AI algorithms on smaller devices, reaching the same accuracy as wasteful digital computers.

Letting human brain organoids grow in animal brains could be an ethical new option for experimental studies of neurological disorders.