How the brain controls complex movements has been a mystery. Advances in artificial intelligence now make it possible to simulate this process in virtual animals. Comparing activations in artificial ...

From writing and typing to playing a musical instrument or mastering a sport, learning movement-based tasks is one of the brain’s most complex challenges. This collaborative new study reveals how the ...

Climbing fiber activity gates the acquisition phase of motor learning but becomes nonessential for memory consolidation or performance once proficiency is achieved.

A neural circuit model tested in amphibious robots developed at EPFL shows how multisensory feedback enables eels to swim even after a spinal cord injury, while also providing new insights into the ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Secondly, the lack of an efficient general training method for such physical neural networks. Both challenges can be overcome with the new method proposed by Clara Wanjura and Florian Marquardt from ...