Scientists have developed a computer-based model that may explain how nerve cells become damaged in ALS, and how best to time ...

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...

Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...

Foundational Concepts in Artificial Intelligence Defining Artificial Intelligence and Its Scope So, what exactly is ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

Artificial intelligence has advanced rapidly, yet one area has remained consistently difficult: truly understanding human ...