.H5
Subject5_Imagery.h5 (849.8 MB)
.H5
Subject1_ImageNetTest.h5 (1.54 GB)
.H5
Subject1_ImageNetTraining.h5 (1.25 GB)
.H5
Subject1_Imagery.h5 (910.14 MB)
.H5
Subject2_ImageNetTest.h5 (1.49 GB)
.H5
Subject2_ImageNetTraining.h5 (1.21 GB)
.H5
Subject2_Imagery.h5 (881.13 MB)
.H5
Subject3_ImageNetTest.h5 (1.96 GB)
.H5
Subject3_ImageNetTraining.h5 (1.59 GB)
.H5
Subject3_Imagery.h5 (1.13 GB)
.H5
Subject4_ImageNetTest.h5 (1.43 GB)
.H5
Subject4_ImageNetTraining.h5 (1.16 GB)
.H5
Subject4_Imagery.h5 (864.41 MB)
.H5
Subject5_ImageNetTest.h5 (1.45 GB)
.H5
Subject5_ImageNetTraining.h5 (1.18 GB)
.H5
Subject5.h5 (115.87 MB)
.H5
Subject4.h5 (109.59 MB)
.H5
Subject3.h5 (123.1 MB)
.H5
Subject2.h5 (116.77 MB)
.H5
Subject1.h5 (118.41 MB)
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Generic Object Decoding
Version 6 2020-10-15, 16:10
Version 5 2020-07-27, 07:39
Version 4 2019-05-08, 03:01
Version 3 2019-04-30, 09:14
Version 2 2019-01-15, 09:15
Version 1 2018-11-27, 10:30
dataset
posted on 2020-10-15, 16:10 authored by Kamitani LabKamitani Lab, Tomoyasu Horikawa, Yukiyasu KamitaniHere we provide preprocessed fMRI data and image features from Horikawa & Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun.
Raw (unpreprocessed) fMRI data are available at OpenNeuro.
Analysis demo code is available at GitHub.
History:
2019-05-08 fMRI data mat files were replaced with h5 files.
Raw (unpreprocessed) fMRI data are available at OpenNeuro.
Analysis demo code is available at GitHub.
History:
2020-10-16 fMRI data preprocessed with fmriprep were updated (Subject*_ImageNetTraining.h5, Subject*_ImageNetTest.h5, and Subject*_Imagery.h5).
2020-07-27 'category_index' and 'image_index' in fMRI data files (Subject*.h5) were fixed.
