The Neural Decoding Toolbox

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  • About
    • News
    • Publications
    • Site Map
  • Downloads
    • Download the toolbox
    • Datasets
      • Zhang-Desimone 7 object dataset
      • Isik 26 letter MEG dataset
      • Qi-Constantinidis pre and post training dataset
      • Freiwald Tsao Face Views AM dataset
    • Additional Code
      • MEG additional decoding functions
      • LIBSVM
  • Documentation
    • Datasources
      • basic_DS
      • generalization_DS
    • Feature Preprocessors
      • zscore_normalize_FP
      • select_or_exclude_top_k_features_FP
      • select_pvalue_significant_features_FP
    • Classifiers
      • max_correlation_coefficient_CL
      • poisson_naive_bayes_CL
      • libsvm_CL
    • Cross-validators
      • standard_resample_CV
    • Tools
      • find_sites_with_k_label_repetitions
      • create_binned_data_from_raster_data
      • plot_standard_results_object
      • plot_standard_results_TCT_object
      • pvalue_object
      • log_code_object
    • Data formats
      • Raster-format
      • Binned-format
  • Tutorials
    • Introduction tutorial
    • Generalization analysis tutorial
    • Getting started with your own data
    • MEG/EEG Decoding Tutorial
    • p-value tutorial
    • Additional tutorial resources
  • Support
    • Support Forum
    • Report a bug
  • Login

The Neural Decoding Toolbox is a Matlab toolbox that makes it easy to apply decoding analyses to neural data

Register for this website or login.

Download the toolbox, and access the support forums (registration required).

View the tutorials and documentation to learn how to use the toolbox.

If you use the toolbox in a publication, please cite: Meyers, E. (2013). The Neural Decoding Toolbox. Frontiers in Neuroinformatics, 7:8

The Neural Decoding Toolbox was created by Ethan Meyers