Skip to content

Brocke, E., Bhalla, U. S., Djurfeldt, M., Hellgren Kotaleski, J., & Hanke, M. (2016). Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations. Frontiers in Computational Neuroscience, 10, 97. http://doi.org/10.3389/fncom.2016.00097

Notifications You must be signed in to change notification settings

ebrocke/multiscale

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

multiscale

[1] Brocke, E., Bhalla, U. S., Djurfeldt, M., Hellgren Kotaleski, J., & Hanke, M. (2016). Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations. Frontiers in Computational Neuroscience, 10, 97. http://doi.org/10.3389/fncom.2016.00097 [2]

################################################################################ Hierarchy of folders ################################################################################ . ├── createfigures : contains scripts for reading and plotting the results. See plotme.m scripts in the data folder. │   ├── createfigure.m │   └── read_multirate_datapoints.m ├── data : contains *.mat object data files to generate figures in [1,2]. Each subfolder contains plotme.m script to generate the figure. │   ├── multirate : multirate datafiles [2] │   │   ├── Figure1 │   │   ├── Figure2 │   │   └── Figure3 │   └── refsol : contains *.mat data files with the reference solution │   ├── ode15s_v2 │   └── ode15s_v3 ├── model_v2 : electrical-chemical model with the fast communication signal, calcium is solved on the biochemical side │   ├── common │   ├── hh : electrical multicompartmental model with HH currents │   ├── kkit : biochemical MAPK model │   ├── modelconst.mat │   ├── save_consts.m │   ├── sim_combine2j2.m : can be used to obtains the solution with ode15s │   └── yTypicalSolution.txt ├── model_v3 : electrical-chemical model with the slow communication signal, calcium is solved on the electrical side. │   ├── common │   ├── hh : electrical multicompartmental model with HH currents │   ├── kkit : biochemical MAPK model │   ├── modelconst.mat │   ├── save_consts.m │   ├── sim_combine2j2.m : can be used to obtain the solution with ode15s │   └── yTypicalSolution.txt ├── README.md └── solvers : contains implementation of the adaptive and fixed stepsize solvers ├── methods : numerical integration methods ├── sim_combine2j2.m : implements MAIN function of the coupled integration

################################################################################ To run ################################################################################

sim_combine2j2.m has to be called to start the simulation. Parameters of interest can be assigned inside sim_combine2j2.m:

  • MODEL : name of the model to simulate. Default: MODEL='model_v3'.
  • iterMethod : can be one of {'Jac','GSCELLFirst','GSERKFirst','GSSlowFirst','GSFastFirst'}. Default: iterMethod = 'GSSlowFirst'.
  • multirate : <true, false>. Default: multirate = true.
  • slv_param : tolerance value (or the number of steps for a fixed step size controller). Default: slv_param = 1e-5.
  • T_SIM : simulation time. Default: T_SIM = 2 [s].
  • solvErkNM, solvCellNM : reference to the numerical method. Default: solvErkNM = solvCellNM = @BDF2_DEF.
  • odeslv : reference to the solver. Default: odeslv = @adaptive_solver.

About

Brocke, E., Bhalla, U. S., Djurfeldt, M., Hellgren Kotaleski, J., & Hanke, M. (2016). Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations. Frontiers in Computational Neuroscience, 10, 97. http://doi.org/10.3389/fncom.2016.00097

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published