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Just type in your difference equations, parameters, and variables and watch your dynamical system evolve. Examine a single path or an entire vector field. Change parameters and watch the effects in real time. Load and save models and data. Enter nullclines and Jacobians identification and classification of equilibria. Auto-generate fast C implementations of your model and fit them to data using Matlab, with optional GPU support.
The long-term goal is to incorporate this into software that simulates whole neural networks.
Note: This is a beta version, and there is currently no user's manual. Additional developers welcome.
DynaSys is licensed under the terms of the GPL v.3.
Features
- No scripting or coding--enter equations directly into GUI.
- Written in C++ using muParser; is able to process 100,000s of steps per second for online simulating.
- Auto-generates a MEX file so you can run the model in pure C, and analyze the data in Matlab.
- Multi-threaded; the GUI does not block during the simulation.
- Visualizes 2D state trajectories, vector fields, and multiple 1D variables through time.
- The GUI is built with Qt and Qwt.
- Auto-generate and run a pure C version of the model as a standalone program (currently only if you recompile under Linux).
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