This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...

This project provides a fully functional, well-documented implementation of EEG-based person identification using state-of-the-art deep learning techniques. Good luck with your submission! 🚀 Last ...

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 ...

When deep-sea diver turned brewer, Ryan LaPete, opened the doors to Deep Brewery & Kitchen’s stunning new 5,000-square-foot facility at noon Friday, Sept. 12, it marked the nine-year culmination of a ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

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