This research paper provides a systematic review of non-invasive electroencephalography (EEG) studies conducted on canines. It examines 22 studies to organize existing knowledge regarding methods, findings, and prevalent trends in canine cognitive neuroscience using EEG. The authors discuss the technical setups, data acquisition, and analysis frameworks employed in these studies, highlighting insights gained from awake and sleeping dog EEG recordings. Furthermore, the review identifies unexplored research questions, proposes standardization for methods and data structures, and suggests avenues for improving signal quality in future canine EEG research.
Supervised Neural Style Transfer as an Augmentation Technique for Facial Landmark Detection
A major challenge in training accurate facial landmark detection models
