Neural Decoding Toolbox – components
The Neural Decoding Toolbox simplifies the process of data analysis by breaking it down into subfunctions which are to be configured by the user.
Data Sources
Basic_DS Generalization_DS Feature Preprocessors
ZScore_Normalize Select_or_exclude_top_k_features_fp Select_pvalue_significant_features_fp Classifiers
For a more detailed description of the classifier’s, click here.
Max_Correlation_Coefficient Poisson_Naive_Bayes LibSVM Cross Validators
Standard Resample CV Tools
create_binned_data_from_raster_data find_sites_with_k_label_repetitions log_code_object create_pvalues_from_nulldist_files plot_standard_results_object plot_standard_results_TCT_object NDT Algorithm for Processing Data
The image below was taken from “The Neural Decoding Toolbox†(Meyers, 2013). The Components highlighted in this section are used in this manner.
