Decoding Neural Data
The Neural Decoding Toolbox enables researchers to analyze neural data from sources such as single cell recordings, fMRI, MEG, and EEG, to understand the information contained in this data and how it is encoded and decoded in the brain. Learn about neural decoding methods, download the toolbox and sample datasets, and run examples in MATLAB or R.
- Meyers, E. (2013) The Neural Decoding Toolbox. Frontiers in Neuroinformatics, 7:8.
At The Neural Decoding Toolbox website, view documentation, tutorials, and publications that used the toolbox for neural data analyses. Download the MATLAB Toolbox and sample datasets, and access an online support forum. Download the NeuroDecodeR package on GitHub to do neural decoding analyses in R.
Additional Resources:
- Run examples of data analyses with the Neural Decoding Toolbox with a MATLAB Live Script (.pdf, .html, .mlx - the .mlx file is only compatible with MATLAB 2016b and more recent versions), which also contains background material and suggestions for additional exercises.
- Ethan Meyers' tutorial, Decoding Analyses to Understand Neural Content and Coding, includes a lecture video with slides, and links to the Toolbox, tutorials, and publications.
- The Brains, Minds, and Machines Summer Course published on MIT OpenCourseWare contains a tutorial page on the Neural Decoding Toolbox with a lecture video, slides, and publications.
- View a tutorial on how to do neural decoding analyses in R using the NeuroDecodeR package.