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

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, ...

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 ...

In a recent study published in Nature Communications, researchers performed high-resolution, micro-electrocorticographic (µECoG) neural recordings for speech decoding to improve speech prostheses.

Qian-Quan Sun (right), a UW associate professor of zoology and physiology, and Weiguo Yang, a graduate student in the Neuroscience Program, check lasers during an experiment on the brain tissue of ...

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 ...

According to researchers from the Chinese Academy of Sciences (CAS), the trial involved a patient with tetraplegia following ...

In the parable of the blind men and the elephant, several blind men each describe a different part of an elephant they are touching – a sharp tusk, a flexible trunk, or a broad leg – and disagree ...

A new study shows how an artificial intelligence (AI) machine-learning algorithm can decode the brain activity of mice in order to predict what they see with 95% accuracy. “Mapping behavioral actions ...