Software

FZJ-2025-02265

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png ODE-toolbox 2.5.8

Linssen, C. (Corresponding author)FZJ* ; Jain, S. ; Babu, P.FZJ* ; Morrison, A.FZJ* ; Eppler, J. M.

2025

Abstract: Choosing the optimal solver for systems of ordinary differential equations (ODEs) is a critical step in dynamical systems simulation. ODE-toolbox is a Python package that assists in solver benchmarking, and recommends solvers on the basis of a set of user-configurable heuristics. For all dynamical equations that admit an analytic solution, ODE-toolbox generates propagator matrices that allow the solution to be calculated at machine precision. For all others, first-order update expressions are returned based on the Jacobian matrix.In addition to continuous dynamics, discrete events can be used to model instantaneous changes in system state, such as a neuronal action potential. These can be generated by the system under test as well as applied as external stimuli, making ODE-toolbox particularly well-suited for applications in computational neuroscience.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. Computational and Systems Neuroscience (IAS-6)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
3. 5235 - Digitization of Neuroscience and User-Community Building (POF4-523) (POF4-523)
4. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
5. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)
6. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)
7. EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) (101147319)

Appears in the scientific report 2025

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