GitHub - faering/master-project: Repository containing code used in MSc. project in the university of Sino-Danish College a partnership programme between Aarhus University and University of Chinese Academy of Sciences.

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Repository containing code used in MSc. project in the university of Sino-Danish College a partnership programme between Aarhus University and University of Chinese Academy of Sciences.

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Name		Name	Last commit message	Last commit date
Latest commit History 75 Commits
.ipynb_checkpoints		.ipynb_checkpoints
R		R
neuropsy		neuropsy
..gitignore.un~		..gitignore.un~
.gitignore		.gitignore
.gitignore~		.gitignore~
MT - fooof.ipynb		MT - fooof.ipynb
PRE - categorise trials.ipynb		PRE - categorise trials.ipynb
PRE - check baseline variance.ipynb		PRE - check baseline variance.ipynb
PRE - electrode coordinate transformation.ipynb		PRE - electrode coordinate transformation.ipynb
PRE - label channels.ipynb		PRE - label channels.ipynb
PRE - preprocess.py		PRE - preprocess.py
Q1 - location and learning performance.ipynb		Q1 - location and learning performance.ipynb
Q1 - time-frequency power analysis - hippocampus.ipynb		Q1 - time-frequency power analysis - hippocampus.ipynb
Q2 - theta during memory recall and memory encoding.ipynb		Q2 - theta during memory recall and memory encoding.ipynb
Q3 - condition difference.ipynb		Q3 - condition difference.ipynb
Q4 - anterior and posterior.ipynb		Q4 - anterior and posterior.ipynb
Q5 - accuracy and learning performance.ipynb		Q5 - accuracy and learning performance.ipynb
analysis_Q1.ipynb		analysis_Q1.ipynb
categorise_items.py		categorise_items.py
categorise_trials.py		categorise_trials.py
electrode_coordinates.ipynb		electrode_coordinates.ipynb
exploratory_analysis.ipynb		exploratory_analysis.ipynb
oscillation_detection.ipynb		oscillation_detection.ipynb
preprocess_old.ipynb		preprocess_old.ipynb
t-test.ipynb		t-test.ipynb
time-frequency power analysis.ipynb		time-frequency power analysis.ipynb
vep_atlas.ipynb		vep_atlas.ipynb

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Repository containing code used in MSc. project in the university of Sino-Danish College a partnership programme between Aarhus University and University of Chinese Academy of Sciences.

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