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Python package for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)
Demo code for Horikawa and Kamitani, "Generic decoding of seen and imagined objects using hierarchical visual features", https://www.nature.com/articles/ncomms15037.
Matlab library for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)
Data and demo codes for Shen, Horikawa, Majima, and Kamitani, "Deep image reconstruction from human brain activity".
Python package for Sparse Multinomial Logistic Regression (SMLR)
Python package for Sparse Linear Regression (SLiR)
Matlab and Python library for Sparse Ordinal Logistic Regression (SOLR).
Demo codes for our paper, "Position information encoded by population activity in hierarchical visual areas", http://eneuro.org/content/early/2017/03/23/ENEURO.0268-16.2017
Documentation and examples about the BrainLiner HDF5 data format.
Codes used in "Neural decoding of visual imagery during sleep" by Horikawa et al (Science, 2013, http://science.sciencemag.org/content/340/6132/639.long)
Neural code converter (original paper: Yamada K, Miyawaki Y, Kamitani Y (2015) "Inter-subject neural code converter for visual image representation". NeuroImage 113, 289-297. http://www.sciencedirect.com/science/article/pii/S1053811915002554)
Variational Bayesian Canonical Correlation Analysis
Java Neuroshare Library
Open source conversion libraries for the BrainLiner HDF5 data format.
Matlab functions to generate pattern images (sine grating, concentric sine, Gabor patch, and random dots) and draw basic figures (filled/frame oval/rectangle, line, and polygon)
An open-source program to facilitate time-alignment of neurophysiological data. This is being managed by ATR in Kyoto, Japan (www.atr.jp).