For more than a century, brain imaging has been a story of trade-offs: sharp pictures but slow timing, or fast signals with ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

A new study suggests that how neurons process energy may determine whether they resist damage or begin to break down.

In a study published in European Heart Journal on December 26, a research team from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

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Memories and learning processes are based on changes in the brain's neuronal connections, and as a result, in signal ...

Closely related subtypes of dopamine-releasing neurons may play entirely separate roles in processing sensory information, depending on their physical structure.

Cedars-Sinai investigators worked with a multi-institutional team to develop a new artificial intelligence framework that can accurately, quickly and efficiently create virtual models of brain neurons ...

Creating a virtual brain may sound like a science-fiction nightmare, but for neuroscientists in Japan and at Seattle’s Allen Institute, it’s a big step toward a long-held dream. They say their ...