/fMRI_parameter-free_attention

This repo includes the experiment codes and experiment results for the Skip Attention Module (SAM). The SAM is a parameter-free attention module using in fMRI decoding to increase the decoding performance, which can be able to stack on any architecture of convolutional neural network without any parameters that need to train, and does not increase any burden of training.

Primary LanguageJupyter Notebook

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