SnnVsAnn

Master Thesis Github of Merlin Sewina Student at KTH Building a framework to comparing SNNs and ANNs in BCI applications

Name		Name	Last commit message	Last commit date
Latest commit History 252 Commits
Models		Models
Scripts		Scripts
ThesisNotes		ThesisNotes
savecopywithlabels		savecopywithlabels
.gitignore		.gitignore
GDFBestConfig.txt		GDFBestConfig.txt
README.md		README.md
apply_CSP.py		apply_CSP.py
apply_CWT.py		apply_CWT.py
apply_burst_noise.py		apply_burst_noise.py
apply_gaussian_noise.py		apply_gaussian_noise.py
apply_transient_noise.py		apply_transient_noise.py
apply_white_noise.py		apply_white_noise.py
bandpass_filter.py		bandpass_filter.py
current_notes.txt		current_notes.txt
fiddle.py		fiddle.py
load_eeg_from_ASCI.py		load_eeg_from_ASCI.py
load_eeg_from_GDF.py		load_eeg_from_GDF.py
normalize_feature_extraction.py		normalize_feature_extraction.py
requirements.txt		requirements.txt
temp_combine_test_data.py		temp_combine_test_data.py
temp_split_test_data.py		temp_split_test_data.py
temp_split_test_data_whole.py		temp_split_test_data_whole.py
temp_train_binary_on_test_prep.py		temp_train_binary_on_test_prep.py
temp_train_multiclass_on_test_prep.py		temp_train_multiclass_on_test_prep.py
test_custom_iz.py		test_custom_iz.py

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