Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
University of Massachusetts Lowell

Ph.D. Dissertation Proposal Defense in Electrical and Computer Engineering: Masoumeh Farhadi Nia 11/7

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...
InfoQ

Researchers at Stanford Use Brain Signals to Control Intelligent Robots

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
eLife

The time course of visuo-semantic representations in the human brain is captured by combining vision and language models

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...
Animal Welfare Institute

Silva, A. C. de S., Arce, A. I. C., Arteaga, H. et al. 2023. Improving behavior monitoring of free-moving dairy cows using noninvasive wireless EEG approach and digital signal ...

Electroencephalography (EEG) is the most common method to access brain information. Techniques to monitor and extract brain signal characteristics in farm animals are not as developed as those for ...