FIELD NOTES TOPIC
eeg
2 notes, newest first.
Multimodal Pretraining for Generalizable EEG Representation Learning
Researchers have developed a multimodal EEG foundation model that can be used for various EEG-related tasks without being limited to specific datasets or tasks. The model uses a raw signal encoder, a time-frequency…
Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning
A new method using reinforcement learning (RL) has been proposed to improve the accuracy of decoding continuous three-dimensional motor imagery signals from non-invasive EEG data for brain-computer interfaces (BCIs)…
