-
NEVESIM was specially designed and developed to support simulation of neural sampling networks
in a efficient and fast manner, therefore it is perfectly suited for researchers who are exploring possiblities of neural sampling in
spiking neural networks and their applications.
For instance, NEVESIM has already been used for solving of Constraint Satisfaction Problems,
namely Sudoku instance(see Stochastic Computations in Cortical Microcircuit Models), but also several others such as max-cut, 3SAT and
TSP problems.
-
While being ideal for simulation of neural sampling, NEVESIM also supports use of other neuron
and synapse models as well as theirs extensions, and therefore is also very good choice for simulation of heterogeneous networks in
continues time due to its event-based simulation strategy.
-
While NEVESIM uses Python for interface, its core has been completely implemented in C++ and
designed in optimal way to facilitate usage of fastest algorithm, therefore the simulator uses the full power of C++ and runs at
maximum speed. When it comes to simulation of neural sampling networks, one can simulate network composed of several thousands
neurons in real time on a single machine!
-
NEVESIM can be run on Linux as well on Windows systems.
For library dependecies and system requirements please refer to the documentation page.
-
Our plans for near future are to merge NEVESIM with PCSIM in order to get all the power from PCSIM into NEVESIM, in this way unifying the 2 simulation strategies: clock and event-based. In addition we
plan to implement support for distributed and multi-threaded simulation.
If you have and suggestions or wishes please contact us!
