Replication Data for: Dynamic redistribution of plasticity in a cerebellar spiking neural network reproducing an associative learning task perturbed by TMS
收藏DataONE2018-04-26 更新2024-06-08 收录
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The data are related to the following article: Antonietti Alberto, Monaco Jessica, D'Angelo Egidio, Pedrocchi Alessandra and Casellato Claudia. Dynamic redistribution of plasticity in a cerebellar spiking neural network reproducing an associative learning task perturbed by TMS. International Journal of Neural Systems. doi: 10.1142/S012906571850020X Usage: The simulations were performed with a Desktop PC with Windows 7 64bit (working also on Windows 10 64bit) and MATLAB 2016b 64-bit with the Parallel Computing Toolbox. In this archive, you can find the human dataset that we used for the fitting and all the files that you need to run the simulations and to reproduce figures and tables of the article. If you want more information about the EDLUT simulator, you can see https://code.google.com/archive/p/edlut/ All the files need to be in the directory where the simulation is launched. Open with MATLAB the file Reproduce_Simulations.m and run it. It will check if all the files are present and it will run the simulations for the models. After you can generate the different figures and results opening the live script Generate_Results.m The following files are included: - DataSet.mat: includes the optimal parameters of the four different groups (ALL-PRE, SHAM-POST, RIGHT-POST, LEFT-POST) found by the Genetic Algorithm optimization process. - Reproduce_Simulations.m: with this file it is possible to generate the simulations with each of the parameters' set. It will generate a folder for each model. The generation 1 models are the models of ALL-PRE, the generation 2 models are the models of SHAM-POST, the generation 3 models are the models of RIGHT-POST, and the generation 4 models are the models of LEFT-POST. It also generates folders with the results of simulations with weights saving at each trial. The respective generation numbers are 901-904. - Reproduce_Results.m: with this script, it is possible to analyze the generated simulation files and to reproduce figures, tables, and statistics of the article. - EBCC.exe: is the executable files that run the simulations given the simulation parameters in the proper files generated by the MATLAB script (file_param.dat and WeightsEBCC_X.dat) - NetworkEBCC.cfg: The network description files for EDLUT simulator. - stdshade_median.m is used to plot Figure 2(a). These model files were supplied by Alberto Antonietti. If you have any question/comments/feedback, please contact me.
创建时间:
2023-11-22



