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 ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

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 ...

Researchers uncover dopamine's essential role in motor skill acquisition, highlighting its influence on neural network reorganization during learning.

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 ...

Researchers produced 3D bioprinted human brain tissues, allowing for the creation of functioning neural networks that could simulate network activity in normal and pathological situations.

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 ...