Decode Information from Neural Activity
A result metric (RM) method to aggregate results over cross-validation...
A result metric (RM) method to aggregate results over cross-validation...
A result metric (RM) method to aggregate results over cross-validation...
A result metric (RM) method to aggregate results over resample runs
A result metric (RM) method to aggregate results over resample runs
A result metric (RM) method to aggregate results over resample runs
A maximum correlation coefficient classifier (CL)
A Poisson Naive Bayes classifier (CL)
A support vector machine classifier (CL)
Convert raster data in MATLAB to R
Convert data from raster format to binned format
The standard cross-validator (CV)
A basic datasource (DS)
A datasource (DS) that allows training and testing on different but re...
A feature preprocessor (FP) that reduces data to the k most selective ...
A feature preprocessor (FP) that z-score normalizes the data
A datasource (DS) method to generate training and test sets
A datasource (DS) method to generate training and test sets
A datasource (DS) method to generate training and test sets
Get the number of sites have at least k trials of each label level
Get the number of trial repetitions for a given label for each site
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
Get parameters of an NeuroDecodeR object
A classifier (CL) method to train the CL and return predictions
A classifier (CL) method to train the CL and return predictions
A classifier (CL) method to train the CL and return predictions
A classifier (CL) method to train the CL and return predictions
Get the sitesIDs that have at least k trials for all label level
A function that checks if a decoding analysis has already been run
A function that loads DECODING_RESULTS based on decoding_parameters
A function that loads DECODING_RESULTS based on the result_name
Saves the DECODING_RESULTS and logs the parameters used in the analysi...
NeuroDecodeR: A package for neural decoding analyses
A plot function for label_repetition object
A plot function for data in raster format
A plot function for the rm_confusion_matrix object
A plot function for the rm_main_results object
A plot function to plot multiple rm_main_results
A feature-preprocessor (FP) method to pre-process training and test da...
A feature-preprocessor (FP) method to pre-process training and test da...
A feature-preprocessor (FP) method to pre-process training and test da...
Reads MATLAB raster data
Read a csv, rda, rds or mat file in raster format
A result metric (RM) that calculates confusion matrices
A result metric (RM) that calculates main decoding accuracy measures
A cross-validator (CV) method to run a decoding analysis
A cross-validator (CV) method to run a decoding analysis
Tests if a data frame is in valid binned format
Tests if an object is a valid NDR object
Tests if a data frame is in valid raster format
Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. 'NeuroDecodeR' is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.
Useful links