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Notes on eeg

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Multimodal Pretraining for Generalizable EEG Representation Learning
Source note · Jul 23, 2026 · pretraining, benchmark evaluation
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
Source note · Jul 13, 2026 · machine learning, 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)…

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Notes on eeg

Multimodal Pretraining for Generalizable EEG Representation Learning

Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning