New research challenges traditional views of how the brain makes decisions, suggesting that even its earliest regions play a more active and dynamic role than previously thought.

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Artificial intelligence that cannot explain how it makes decisions—often called "black box" AI—could soon be replaced by more ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

Credit: Mark Hersam/Northwestern University Printed artificial neurons can now send lifelike signals that activate real brain ...

New insight into decision-making pathways in the brain may impact the way engineers think about artificial intelligence, ...

A tiny strip of printed nanomaterials fired an electrical spike, and a living mouse brain cell answered back. That exchange, ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...