Title:
Simulation of networks of spiking neurons: A review of tools and strategies
  by Brette R et al.

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 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 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-driven or event-driven 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.
Posted on:28 Dec 2007