Neural organoids have been heralded as having huge potential for advancing our knowledge of the brain in several fields.

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.

San Diego, CA – Innatera, a leader in neuromorphic computing for the sensor edge, today announced Synfire, an open, community-driven platform designed to unify and accelerate the neuromorphic ...

Neuroscientists have spent two decades testing whether the brain sits at a “critical point,” a phase transition between stable and unstable states that would give neural circuits maximum flexibility, ...

Abstract: Spiking Neural Networks (SNNs) have emerged as a promising alternative to traditional Artificial Neural Networks (ANNs) due to their biological interpretability. SNNs process input ...

The human brain constantly makes decisions. It requires minimal power to move bodies in a desired direction or avoid an ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...

A unified platform that can bring spiking neural networks together, accelerating neuromorphic AI from fragmented research to ...

The ability to automate the discovery process in some areas of scientific inquiry raises unanswered questions about how ...

For the first time, scientists have successfully decoded detailed leg movements from the existing nerves of individuals with ...

A research team led by researchers at Chalmers University of Technology in Sweden, has, for the first time, successfully ...

When a person loses a leg above the knee, the nerves that once moved that leg don’t simply go quiet. They keep firing.