Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks
收藏OpenNeuro2021-11-22 更新2026-03-14 收录
下载链接：
https://openneuro.org/datasets/ds003927
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资源简介：
This fMRI dataset was collected for the study "Informative neural representations of unseen contents during higher-order processing in human brains and deep artificial networks".
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Code corresponding to the dataste: https://github.com/nmningmei/unconfeats
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# System Information
- [Platform](https://dipc.ehu.es): Linux-3.10.0-514.el7.x86_64-x86_64-with-centos-7.3.1611-Core
- CPU: x86_64: 16 cores
## Python environment
- Python: 3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42) [GCC 7.2.0]
- Numpy: 1.19.1 {blas=mkl_rt, lapack=mkl_rt}
- Scipy: 1.3.1
- Matplotlib: 3.1.3 {backend=agg}
- Scikit-learn: 0.24.2
- Seaborn: 0.11.1
- Pandas: 1.0.1
- Tensorflow: 2.0.0
- Pytorch: 1.7.1
- Nilearn: 0.7.1
- Nipype: 1.4.2
- [LegrandNico/metadPy](https://github.com/LegrandNico/metadPy)
## R environment - R base
- R: 4.0.3 # for 3-way repeated measure ANOVAs
## Brain image processing backends
- mricrogl
- mricron: 10.2014
- FSL: 6.0.0
- Freesurfer: 6.0.0
创建时间：
2021-11-22
