DeNSE provides a generic platform to investigate growth and network formations in 2D ensembles of neurons. DeNSE enables to focus on single neuron morphologies, neuronal interactions and network formation through a large set of tunable and combinable models.
If you are interested in investigating neuronal morphology, neuronal cultures, or more complex devices, then DeNSE is the tool you are looking for.
For copyright information please refer to the LICENSE file and to the information header in the source files.
As most neuroscience tools, DeNSE provides a Python user interface to give the user an intuitive and convenient access to all the information regarding the neurons and the simulation parameters. DeNSE also integrates well with network libraries such as networkx, igraph, or graph-tool, but also with the NEST simulator via the NNGT package.
To get started with DeNSE, please see the documentation.
DeNSE is an open source software and is licensed under the GNU General Public License v2.
Generic installation instructions can be found in the INSTALL file, which is also available in the source. DeNSE is cross-platform and can therefore work on Linux, OSX, and Windows.
The DeNSE software was designed and developed by:
- Tanguy Fardet
- Alessio Quaresima
- Samuel Bottani
Acknowledgements:
- Mallory Dazza