RedicGUI
GUI Interface
- base: 100
- Represents the total number of AMPAR particles to simulate.
By default, these particles will behave like GluR2, in that, the entire PSD and periPSD region will have one unified diffusion rate scalar. If 'Use GluR1 receptors' is selected as a Run Item, this total number will allocate exactly half of the particles to the GluR1 pool and half to the GluR2 pool. So at the base value of 100, with 'Use GluR1 receptors' checked, there will be 50 particles representing GluR1 and 50 representing GluR2.
base: 1000 Total number of iterations to run the main loop function of the simulation.
This value represents the number of 'steps' or 'seconds' being simulated. Each iteration of the main loop performs many functions, but its most basic function is to generate random, but diffusion rate-dependent, step sizes for each particle; and then update each particle's location accordingly.
A note on processing speed: If either of the Run Items 'View Live 2D Plot' or 'View Live 2D Plot' are selected (ON), to simulate 1000 steps, it takes roughly 100 seconds on my macbook pro laptop¹ and about 10 seconds on my custom built desktop². The big difference between the two is due to graphics rendering (the custom desktop has better specs in all categories, but an especially better graphics card). Keep your hardware in mind when choosing these step values.
When the Run Items 'View Live 2D Plot' or 'View Live 2D Plot' are not selected (OFF), it takes about 20 seconds to run 5000 steps on my macbook pro laptop.
Long story short, the live graphics 2D and 3D plot will make the simulation run much slower. If you are only interested in seeing the final output graphs, turn the 2D and 3D plots OFF and save yourself the time.
- ¹Brad's Macbook Pro: Intel 2.4 GHz i7 quad-core, 8 GB RAM, and AMD Radeon HD 6770M 1GB dedicated graphics.
- ²Brad's Custom Desktop: Overclocked & Watercooled 4.1 GHz i7 Quadcore Bloomfield, Asus TS Supercomputer motherboard, Asus NVIDIA CUDA graphics card, Intel solid state HDD. See full specs for the Computer
ReDiClus in Matlab
| Malinow | Molecular Methods | Quantum Dots | Choquet | AMPAR |