Emily Laber-Warren
From this contributor
Shafali Jeste: Early autism meets its match
Shafali Jeste has spent the bulk of her scientific career searching for biological markers of autism. Her goal: to improve lives through early diagnosis and speedy testing of therapies.

Shafali Jeste: Early autism meets its match
The benefits of special interests in autism
Researchers are studying how the intense passions of autistic people shape the brain, improve well-being and enhance learning.

The benefits of special interests in autism
How autism shapes sibling relationships
Having an autistic brother or sister can pose challenges, but it can also make children patient, empathetic and resilient.
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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?