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

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 ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Computational neuroscience is an interdisciplinary field that employs mathematical models, computer simulations and analytical methods to understand how the brain processes information. By bridging ...

In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...

Image courtesy by QUE.com In the ever-evolving landscape of artificial intelligence, there is a growing interest in ...

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

In a powerful fusion of AI and neuroscience, researchers at the University of California, San Francisco (UCSF) and Allen Institute designed an AI model that has created one of the most detailed maps ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).