Resources

Green Brain tools, models, and software available to download.

On

SpineCreator

The Spiking Neural Mark-up Language (SpineML) is a declarative XML based model description language for large scale neural network models. 

Learn more on the .

GeNN

GeNN is a GPU enhanced Neuronal Network simulation environment based on NVIDIA CUDA technology.

Learn more on the .

Corridor Centring Model

Below are instructions for obtaining and running the Corridor Centring Model. There are three experiments included, and there is some set up work to configure each. The model can be run on Linux or OSX.

  1. .
  2. Install  and download the simulated environment (beeworld) from . You鈥檒l also need .
  3. Run QtCreator, load the .pro file and use the default build options, then build the beeworld. Copy the beeworld2 binary (if on Mac you need the one 鈥漣nside鈥 the .app package (right click and select 鈥榮how package contents鈥 to get it). Then replace the beeworld2 file from the zip you downloaded (it is compiled for Mac, but almost certainly won鈥檛 work on your computer).
  4. Install SpineML_2_BRAHMS and BRAHMS as described . Note the installation locations (on Mac the installation locations are 鈥漣nside鈥 the .app package,right click and select 鈥榮how package contents鈥)
  5. The first link contains three directories beginning 鈥楶aper鈥 鈥 these are the experiments. The cc_XXXX_model directories are the SpineML models. You now need to configure each experiment for your system 鈥 replace the SML_2_B_dir, SML_dir and Model_dir variables in run_FigX.py and analyse_FigX.py with the SpineML_2_BRAHMS, SystemML and model directories on your system, respectively.
  6. Run: python run_FigX.py && python analyse_FigX.py
  7. You will get a labelled graph of the model output when the batch run is complete.

Central Complex Model

The central complex model presented here is described in the PLOS One paper: A Computational Model of the Integration of Landmarks and Motion in the Insect Central Complex. 

The model along with the data used to create the Figures and the analysis scripts used can be found on the .

A video of the model in action: