Matlab code for Pu and Thomas' Neural Computation paper

Fast and Accurate Langevin Simulations of Stochas-tic Hodgkin-Huxley Dynamics

Figure 1 (HH diagram) is generated by the tex code
Figure 2 (4D and 14D HH models) can be generated from codes in folder "Figure2", it takes roughly 3-5 minutes to run the script Fig2.m
Figure 3 (convergence to the multinomial submanifold) can be generated by codes in folder "Figure3", it takes roughly 3-5 minutes to run the script Fig3.m
Figure 4 (Edge importance under voltage clamp) is reproduced with permission from Figs. 10 & 13 of Schmidt and Thmas (2014) paper
Figure 5 (edge importance under current clamp) can be reproduced from codes in folder "Figure5".
- to generate figure 5, one needs to run hundreds repeated simulations, high performance computing is recommended
- one can modify the code gene_data_SS.m to generat desired many samples
- fig5data.mat can be loaded and viewed by plot_fig5.m
Codes for Table 3, Figure 7, 8 and 9 are all included in the file "All_models"
- cluster computing or high performance computing is highly recommended for generating the data for these tables and figures
- details of the simulation for the paper is specified in Section 5
- simulation efficiency is computed through the same laptop, the time might be different using different machines but the ratio should be roughly the same
- since the data for all plots are more than 500 MB, data for the plots are not uploaded here but one should be able to re-generate the data with the provided code

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
All_models		All_models
Figure2		Figure2
Figure3		Figure3
Figure5		Figure5
Figure6		Figure6
LICENSE		LICENSE
README.md		README.md