Within human neuroscience, recent advances have transformed our perspective on depression and anxiety, reframing them as conditions of network-level ...

Two University of Montana researchers are using advanced neural networks along with other things to improve climate models to help predict threats to coastal ar ...

Understanding how the brain works requires more than studying single regions in isolation. The cerebral cortex depends on long-distance connections that link specialized areas into coordinated ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Neuro-symbolic AI — combining data-driven learning with rule-based reasoning — could accelerate safe, transparent use of autonomous equipment on complex jobsites.

A recent study published in Physical Review Letters reveals that many widely used signatures of criticality in brain data may be statistical artifacts. They propose a more robust framework that, when ...

What is the "resilience window"? New research using fMRI and EEG reveals that the brain's recovery from stress peaks 60 minutes after the event. Discover how the Salience and Default Mode networks ...

By designing a hybrid system with variable-sized neurons, the key problems in the manufacturing process of ODNNs were ...

Imagine a horse stumbling on a rock. It regains momentum, then hits bumpier terrain and slows to a walk. Back on steady ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...