Neural Comput - On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks.

Tópicos

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Resumo

In traditional event-driven strategies, spike timings are analytically given or calculated with arbitrary precision (up to machine precision). Exact computation is possible only for simplified neuron models, mainly the leaky integrate-and-fire model. In a recent paper, Zheng, Tonnelier, and Martinez (2009) introduced an approximate event-driven strategy, named voltage stepping, that allows the generic simulation of nonlinear spiking neurons. Promising results were achieved in the simulation of single quadratic integrate-and-fire neurons. Here, we assess the performance of voltage stepping in network simulations by considering more complex neurons (quadratic integrate-and-fire neurons with adaptation) coupled with multiple synapses. To handle the discrete nature of synaptic interactions, we recast voltage stepping in a general framework, the discrete event system specification. The efficiency of the method is assessed through simulations and comparisons with a modified time-stepping scheme of the Runge-Kutta type. We demonstrated numerically that the original order of voltage stepping is preserved when simulating connected spiking neurons, independent of the network activity and connectivity.

Resumo Limpo

tradit eventdriven strategi spike time analyt given calcul arbitrari precis machin precis exact comput possibl simplifi neuron model main leaki integrateandfir model recent paper zheng tonneli martinez introduc approxim eventdriven strategi name voltag step allow generic simul nonlinear spike neuron promis result achiev simul singl quadrat integrateandfir neuron assess perform voltag step network simul consid complex neuron quadrat integrateandfir neuron adapt coupl multipl synaps handl discret natur synapt interact recast voltag step general framework discret event system specif effici method assess simul comparison modifi timestep scheme rungekutta type demonstr numer origin order voltag step preserv simul connect spike neuron independ network activ connect

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