To test their hypothesis, Langdon and Engel first applied their new model to recurrent neural networks trained to perform a context-dependent decision-making task. The task, performed by humans ...

Nature is often the best model for science. For nearly a century, scientists have been trying to recreate the ability of some ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like ...

A team of researchers at Washington University in St. Louis is in pursuit of translating induced, or synthetic, torpor into ...

New research provides a potential brain-based explanation for social touch aversion in some forms of autism. A study published in Nature Communications finds that in a mouse model of Fragile X ...

Intensive analysis of these neural circuits, particularly those controlling the muscles in the leg swing phase, unveiled critical elements of energy-saving walking strategies.

In this neural-circuit model, which incorporates what we know about the organization and neurophysiology of the cortex, lower-level neural circuits send information about visual stimuli to a ...

Liquid Neural Networks could help us to achieve the next level of efficiency with AI/ML Many of us can agree that over the past few years AI/ML progress has been, well, rapid. Now, we’re given ...