We present a dataset derived
through the DNN feature decoding analyses (Horikawa and Kamitani, 2017), including true and decoded feature
values of DNNs (AlexNet and VGG19) and decoding accuracies of
individual DNN features with their rankings. The decoding accuracies of
individual DNN features were highly correlated across subjects,
suggesting the systematic differences between the brain and DNNs. The
unpreprocessed fMRI data is available from the OpenNeuro (https://openneuro.org/datasets/ds001246).
We hope the present dataset will contribute to reveal the gap between
the brain and DNNs and provide an opportunity to make use of the decoded
features for further applications.