Abstract: Automatic detection of emotional states using electroencephalogram (EEG) signals has emerged as an attractive research topic due to advancements in brain-computer interfaces (BCIs).

Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States Institute for Medical Engineering and Science, Massachusetts ...

CNNs were also applied to classify Gram-stain morphologies with 95% accuracy. 4 Similarly, oncological imaging applies AI to detect and classify tumors, predict treatment responses, and track ...

This repository contains a Deep Fake Detection model that uses Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to analyze videos and detect deepfake content. The model ...

Yet, intriguingly, the surprise reflected primarily short-range musical contexts of less than ten notes. We present a full replication of our novel MEG results in an openly available EEG dataset.

An electroencephalogram (EEG) is a common test used to help diagnose epilepsy, and to find out more about someone’s seizures. Find out about the different types of EEG test and what to expect when you ...