This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Emotions are an important part of human intelligence. Identifying specific emotional categories from complex neural patterns, i.e., the neural decoding of emotional information, is a key issue in ...

Since its introduction, multivariate pattern analysis (MVPA), or 'neural decoding', has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call ...

A new study published in this month’s Journal of Neural Engineering demonstrates how a brain-computer interface (BCI) uses artificial intelligence (AI) deep learning to translate brain activity to ...

Walking simulation that accurately changes velocity in response to an input target velocity (vxtar) using a musculoskeletal model that mimics a human. The existing reflex control framework could not ...

The idea of “reading minds” has shifted from science fiction to a concrete engineering challenge, and the latest ...

The cerebellum is a region of the brain that helps us refine our movements and learn new motor skills. Patients and mouse models experience many kinds of abnormal movements when their cerebellum is ...

Neuroscience, behavioral science, and medical research are accelerating with the help of the predictive power of artificial intelligence (AI) machine learning. A new peer-reviewed study published in ...