Accurately and efficiently capturing large-scale neural signals is a core objective of next-generation brain-machine interface (BMI) technology, as well as a critical breakthrough direction in ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...

A new brain-computer interface can decode a person's inner speech, which could help people with paralysis communicate. When you purchase through links on our site, we may earn an affiliate commission.

Every time a new slang word gets coined on the Internet, linguist Adam Aleksic is thrilled. “It’s definitely good for me in that I stay in business,” says Aleksic, who studies the origins of words and ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

Abstract: Motor imagery (MI) electroencephalography (EEG) has shown significant potential in consumer electronics (CE) applications enabled by brain–computer interfaces (BCIs); however, current ...