Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...
We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline that achieves high ...
We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...
This is a repository of the scripts used for the study: “EEG-based Brain-Computer Interface Enables Real-time Robotic Hand Control at Individual Finger Level”. Ding, Y., Udompanyawit, C., Zhang, Y., & ...
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