Neurobehavioral data combined with computational models shows the superiority of active inference models in explaining human decisions under uncertainty.

The AI model employs a hybrid deep learning approach combining convolutional neural networks (CNNs) and long short-term memory (LSTM) architectures. CNNs extract spatial features from EEG data, while ...

The Muse S Athena has a new fNIRS sensor that can identify how much oxygen is in your brain. The more oxygen, the more effort you're making.

Scientists at the University of Southern California (USC) have developed an artificial intelligence (AI) model that they say could help scientists better understand, prevent, and treat cognitive ...

This manuscript addresses the role of alpha oscillations in sensory gain control. The authors use an attention-cuing task in an initial EEG study followed by a separate MEG replication study to ...