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

Researchers at Princeton University have developed a hybrid biocomputing platform that combines living brain ...

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

New research challenges traditional views of how the brain makes decisions, suggesting that even its earliest regions play a ...

A recent publication in Nature Machine Intelligence really got me thinking. In this study, researchers created an artificial system that not only simulates but also behaves like our brain. This ...

Contemporary artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT, image ...

Breakthrough in bio-computing: Japanese researchers trained living neurons to perform supervised temporal pattern learning, a feat until now limited to artificial neural networks. How it was done: ...

Researchers discover decision-making signals in the brain's early sensory regions, suggesting bidirectional feedback loops ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

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