Generic Object Decoding (GOD) dataset

The Generic Object Decoding (GOD) dataset is a fMRI dataset containing brain activity patterns of 5 subjects while they were watching 1200 images of 200 distinct object categories selected from ImageNet.

Data and Resources

Cite this as

Shirin Vafaei, Ryohei Fukuma, Huixiang Yang, Haruhiko Kishima, Takufumi Yanagisawa (2024). Dataset: Generic Object Decoding (GOD) dataset. https://doi.org/10.57702/lwouv9r7

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2403.15176
Author Shirin Vafaei
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Ryohei Fukuma
Huixiang Yang
Haruhiko Kishima
Takufumi Yanagisawa
Homepage https://doi.org/10.1038/ncomms15037