Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

A new study finds that brain changes are not a steady progression; instead, distinct neural rewiring occurs around ages 9, 32 ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

Tesla’s latest Full Self-Driving release, FSD v14.2, arrives at a moment when owners are fixated on how the system handles ...

Abstract: Recently, deep learning-based solvers for inverse scattering problems (ISPs) have been continuously developed. The ill-posedness and nonlinear nature of ISPs make deep learning-based ISP ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...