Tools are useful functions and objects that help with setting up decoding analyses and plot results. The Neural Decoding Toolbox comes with the following tools:
A function takes in labels in binned-format, and an integer k, and returns the indices for all sites (e.g. neurons) that have at least k repetitions of each experimental condition.
A helper object saves information about the exact code that was run so that one has a record of how particular results were generated.
This object plots DECODING_RESULTS files that were created by running the standard_resample_CV.run_cv_decoding method, as a function of time.
This object allows one to display the results for training and testing at different time points in the experiment, i.e., temporal cross-training (TCT) results, for results that were created using the standard_resample_CV.run_cv_decoding method.