| We review different aspects of the simulation of spiking neural networks. We start by reviewing the
different types of simulation strategies and algorithms that are currently implemented. We next review the
precision of those simulation strategies, in particular in cases where plasticity depends on the exact timing
of the spikes. We overview different simulators and simulation environments presently available (restricted
to those freely available, open source and fully documented). For each simulation tool, its advantages
and pitfalls are reviewed, with an aim to allow the reader to identify which simulator is appropriate for a
given task. Finally, we provide a series of benchmark simulations of different types of networks of spiking
neurons, including Hodgkin-Huxley type, integrate-and-fire models, interacting with current-based or
conductance-based synapses, using clock-based or event-based integration strategies. The same set of models
are implemented on the different simulators, and the codes are made available. The ultimate goal of this
review is to provide a resource to facilitate identifying the appropriate integration strategy and simulation
tool to use for a given modeling problem related to spiking neural networks. |