Equilibrium and response properties of the integrate-and-fire neuron in discrete time

The integrate-and-fire neuron with exponential postsynaptic potentials is a frequently employed model to study neural networks. Simulations in discrete time still have highest performance at moderate numerical errors, which makes them first choice for long-term simulations of plastic networks. Here...

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Autors principals:	Moritz Helias, Moritz Deger, Markus Diesmann, Stefan Rotter
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2010-01-01
Col·lecció:	Frontiers in Computational Neuroscience
Matèries:	discrete time equilibrium properties finite synaptic weights immediate firing rate response Leaky Integrate-and-Fire Neuron membrane potential distribution
Accés en línia:	http://journal.frontiersin.org/Journal/10.3389/neuro.10.029.2009/full
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