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ZhenLi's Projects

mi-eeg-1d-cnn icon mi-eeg-1d-cnn

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

neurogpt icon neurogpt

Code for the paper "Neuro-GPT: Towards a Foundation Model for EEG"

resnet18_cifar10_95.46 icon resnet18_cifar10_95.46

Pytorch实现：使用ResNet18网络训练Cifar10数据集，测试集准确率达到95.46%(从0开始，不使用预训练模型)

spm_scripts icon spm_scripts

Scripts used for the SPM tutorials of Andy's Brain Book

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