Larry Young is director of the Translational Center for Neuroscience at Emory University in Atlanta, Georgia. He seeks to understand how the brain regulates social relationships. His research has revealed that brain chemicals such as oxytocin regulate the neural processing of social information.
Larry Young
Director
Translational Center for Neuroscience
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Questions for Larry Young: Oxytocin’s promise for autism
Understanding how oxytocin works in the brain will help researchers cut through the hype surrounding the infamous ‘love hormone’ and translate it into a treatment for autism, says Larry Young.

Questions for Larry Young: Oxytocin’s promise for autism
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‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
‘Digital humans’ in a virtual world
By combining large language models with modular cognitive control architecture, Robert Yang and his collaborators have built agents that are capable of grounded reasoning at a linguistic level. Striking collective behaviors have emerged.
Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.

Food for thought: Neuronal fuel source more flexible than previously recognized
The cells primarily rely on glucose—rather than lactate from astrocytes—to generate energy, according to recent findings in mice.
Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?

Claims of necessity and sufficiency are not well suited for the study of complex systems
The earliest studies on necessary and sufficient neural populations were performed on simple invertebrate circuits. Does this logic still serve us as we tackle more sophisticated outputs?