Internship_RU

Scripts for detecting cell assemblies using the Van de Ven et al Nature 2016 method.

-Dependencies: Python modules

Requires spike sorting data with Phy format.

-Activate environment: conda activate cellassembly

jupyter notebook Go to script in CellAssembly

-Folder description:

PLOTS:

generate_per_trial.py: Scripts for normalization (Divide and substract Pre-sleep) Includes normalization.

generate_per_condition_graphs.py: Scripts for normalization (Divide and substract Pre-sleep): September 14 on Slack. Doesn't include normalization

PAIR-WISE CORRELATION: corr_graph.py

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
.idea		.idea
CellAssembly		CellAssembly
README.md		README.md
RGS14_Cell_Assembly.xlsx		RGS14_Cell_Assembly.xlsx
RGS14_combined.csv		RGS14_combined.csv
RGS14_combinedmod.csv		RGS14_combinedmod.csv
act_dict_open.py		act_dict_open.py
avg_of_shuffled_data.py		avg_of_shuffled_data.py
combine_data_per_condition.py		combine_data_per_condition.py
corr_graph.py		corr_graph.py
corr_graph_5min.py		corr_graph_5min.py
corr_of_corr_multi.py		corr_of_corr_multi.py
corr_of_corr_multi_shuf.py		corr_of_corr_multi_shuf.py
data_shuffler.py		data_shuffler.py
data_shuffler_5mins.py		data_shuffler_5mins.py
generate_per_condition_graphs.py		generate_per_condition_graphs.py
generate_per_trial.py		generate_per_trial.py
mean_df.csv		mean_df.csv
mean_filter_df.csv		mean_filter_df.csv
outlier_script.py		outlier_script.py
rgs_processed_data.csv		rgs_processed_data.csv
ripple_timestamps_Rat_OS_Ephys_RGS14_Rat3_357152_SD1_OD_10-11_10_2019.mat		ripple_timestamps_Rat_OS_Ephys_RGS14_Rat3_357152_SD1_OD_10-11_10_2019.mat
vehic_processed_data.csv		vehic_processed_data.csv
vehicle_combined.csv		vehicle_combined.csv

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