This repository contains the scripts and data used in the study: "Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data from Bicuculline-Induced Epileptiform Activity"
In this study, various spike train synchrony measures were systematically compared to evaluate their robustness to erroneous data. The data was derived from experiments involving bicuculline-induced epileptiform activity. The results provide insights into the performance and reliability of different synchrony measures under challenging conditions.
For full details of the study, refer to the original publication: Ciba, M., Bestel, R., Nick, C., De Arruda, G. F., Peron, T., Henrique, C. C., ... & Thielemann, C. (2020). Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data from Bicuculline-Induced Epileptiform Activity. Neural Computation, 32(5), 887–911. DOI: 10.1162/neco_a_01277 Link to publication
This repository includes:
- MATLAB scripts for data processing and synchrony measure calculations.
- Data files for reproducing the analysis.
MEA-TS-Data.zip
: Contains spike train data used in the study.DrCell.zip
: Includes additional functions required to run the scripts.
To run the scripts (MATLAB 2019a or later recommended):
-
Unzip Data: Unzip the spike train data file
MEA-TS-Data.zip
into the folder01_CalcSync
. -
Prepare Functions:
-
Unzip
DrCell.zip
to access all required functions. -
Add these functions to your MATLAB path:
- Manually: Use the MATLAB path editor to include the unzipped folder.
- Programmatically: Run the script
DrCell.m
to add the functions to your path.
-
-
Run Scripts: Navigate to
01_CalcSync
and execute the MATLAB scripts as required.
If you use the scripts or data in your research, please cite the original publication: Ciba, M., Bestel, R., Nick, C., De Arruda, G. F., Peron, T., Henrique, C. C., ... & Thielemann, C. (2020). Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data from Bicuculline-Induced Epileptiform Activity. Neural Computation, 32(5), 887–911. DOI: 10.1162/neco_a_01277
This project is distributed under the MIT License. See the LICENSE
file for details.
For inquiries or issues related to this repository, please contact:
Manuel Ciba
or
BioMEMS lab (University of Applied Sciences Aschaffenburg)