FNS neural simulator (Firnet NeuroScience)

Abstract

FNS is an event-driven Spiking Neural Network (SNN) framework, oriented to data-driven neural simulations.

FNS combines spiking/synaptic level description with the event-driven approach, allowing the user to define heterogeneous modules and multi-scale connectivity with delayed connections and plastic synapses, providing fast simulations at the same time. A novel parallelization strategy is also implemented in order to further speed up simulations.

FNS is based on the Leaky-Integrate and Fire with Latency (LIFL) spiking neuron model, that combines some realistic neurocomputational features to low computational complexity.

FNS is written in Java, distributed as open source and protected by the GPL license.