Cargando…
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...
Autores principales: | Helias, Moritz, Deger, Moritz, Diesmann, Markus, Rotter, Stefan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2805428/ https://www.ncbi.nlm.nih.gov/pubmed/20130755 http://dx.doi.org/10.3389/neuro.10.029.2009 |
Ejemplares similares
-
Finite Post Synaptic Potentials Cause a Fast Neuronal Response
por: Helias, Moritz, et al.
Publicado: (2011) -
Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex
por: Deger, Moritz, et al.
Publicado: (2012) -
Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units
por: Helias, Moritz, et al.
Publicado: (2010) -
Fail-safe detection of threshold crossings of linear integrate-and-fire neuron models in time-driven simulations
por: Kunkel, Susanne, et al.
Publicado: (2011) -
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
por: Kriener, Birgit, et al.
Publicado: (2014)