- Event-driven simulation of spiking neural networks
- Easy to use Python interface
- Supports different levels of modeling
- Object oriented design
- Fast C++ core
- Running on Linux and Windows systems (see dependencies)
-
NEVESIM was primarily designed and developed to simulate exactly and
efficiently networks of stochastic spiking neurons that perform Neural Sampling. To find out more about this class
of networks we refer to the demo site.
-
NEVESIM also supports simulation of heterogenerous networks with different
types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types.
-
In addition, NEVESIM besides being an event-driven simulator also supports
time-step simulation, in this way offering an unique environment for both stiles of simulation.
-
NEVESIM is open source software!
-
The best way to learn NEVESIM is to try it out!
-
Start by downloading NEVESIM from our download area where you can also get installation
instructions!
To find out more about installation procedure, system requirements and class reference visit are documentation page!
-
To get quick overview and to facilitate your usage of NEVESIM we prepared
for you several small demos containing
code, line-by-line explanation and plots, which should give you a fast take off!
-
If you have any suggestion how to improve NEVESIM, or you developed a new
model you would like to include in NEVESIM, or created a cool demo you would
like to share with others, don't hesistate to contact us!
