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NeuroDecodeR
View on CRAN: Click
here
Download and install NeuroDecodeR package within the R console
Install from CRAN:
install.packages("NeuroDecodeR")
Install from Github:
library("remotes")
install_github("cran/NeuroDecodeR") Install by package version:
library("remotes")
install_version("NeuroDecodeR", "0.2.0") Attach the package and use:
library("NeuroDecodeR")
Maintained by
Ethan Meyers
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-29
Latest Update: 2024-03-15
Description:
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)
.
How to cite:
Ethan Meyers (2022). NeuroDecodeR: Decode Information from Neural Activity. R package version 0.2.0, https://cran.r-project.org/web/packages/NeuroDecodeR. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.1.0 (2022-09-29 15:00)
Other packages that cited NeuroDecodeR R package
View NeuroDecodeR citation profile
Other R packages that NeuroDecodeR depends,
imports, suggests or enhances
Complete documentation for NeuroDecodeR
Functions, R codes and Examples using
the NeuroDecodeR R package
Some associated functions: NeuroDecodeR . aggregate_CV_split_results . aggregate_CV_split_results.rm_confusion_matrix . aggregate_CV_split_results.rm_main_results . aggregate_resample_run_results . aggregate_resample_run_results.rm_confusion_matrix . aggregate_resample_run_results.rm_main_results . cl_max_correlation . cl_poisson_naive_bayes . cl_svm . convert_matlab_raster_data . create_binned_data . cv_standard . ds_basic . ds_generalization . fp_select_k_features . fp_zscore . get_data.ds_basic . get_data.ds_generalization . get_data . get_num_label_repetitions . get_num_label_repetitions_each_site . get_parameters.cl_max_correlation . get_parameters.cl_poisson_naive_bayes . get_parameters.cl_svm . get_parameters.cv_standard . get_parameters.ds_basic . get_parameters.ds_generalization . get_parameters.fp_select_k_features . get_parameters.fp_zscore . get_parameters . get_parameters.rm_confusion_matrix . get_parameters.rm_main_results . get_predictions.cl_max_correlation . get_predictions.cl_poisson_naive_bayes . get_predictions.cl_svm . get_predictions . get_siteIDs_with_k_label_repetitions . log_check_results_already_exist . log_load_results_from_params . log_load_results_from_result_name . log_save_results . plot.label_repetition . plot.raster_data . plot.rm_confusion_matrix . plot.rm_main_results . plot_main_results . preprocess_data.fp_select_k_features . preprocess_data.fp_zscore . preprocess_data . read_matlab_raster_data . read_raster_data . rm_confusion_matrix . rm_main_results . run_decoding.cv_standard . run_decoding . test_valid_binned_format . test_valid_ndr_object . test_valid_raster_format .
Some associated R codes: NeuroDecodeR.R . cl_max_correlation.R . cl_poisson_naive_bayes.R . cl_svm.R . create_binned_data.R . cv_standard.R . ds_basic.R . ds_generalization.R . fp_select_k_features.R . fp_zscore.R . generic_functions.R . get_num_label_repetitions.R . log_and_save_decoding_results.R . ndr_container.R . private_helper_functions.R . raster_data_functions.R . rm_confusion_matrix.R . rm_main_results.R . test_valid_NDR_objects.R . Full NeuroDecodeR package functions and examples
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