Woo-Young Ahn's starred repositories
BrainSpace
BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |
stat_rethinking_2022
Statistical Rethinking course winter 2022
neuroconda
Conda environment for neuroimaging analysis in python, R, etc
DeepImageReconstruction
Data and code for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.
GenericObjectDecoding
Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.
Haines_CVML_2018
Data and codes used for primary analyses in Haines et al. (2019, PLOS ONE) Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity
DS8R_matlab
DS8R Matlab API manual
DS8R_python
An unofficial Python package for Digitimer DS8R current stimulator.
Data-Analysis
Data Science Using Python
bids-b0-tools
Scripts, tools, and documents on creating, parsing, and working with BIDS-structured data sets.
python-guide
Python best practices guidebook, written for humans.
analysis-nda
Collection of scripts to analyze ABCD release data
iccs2019.github.io
iccs2019 conference page
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sklearn_tutorial
Materials for my scikit-learn tutorial