Cargando…
On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based Synapses
We present a mathematical analysis of networks with integrate-and-fire (IF) neurons with conductance based synapses. Taking into account the realistic fact that the spike time is only known within some finite precision, we propose a model where spikes are effective at times multiple of a characteris...
Autores principales: | Cessac, Bruno, Viéville, Thierry |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2525942/ https://www.ncbi.nlm.nih.gov/pubmed/18946532 http://dx.doi.org/10.3389/neuro.10.002.2008 |
Ejemplares similares
-
Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
por: Cofre, Rodrigo, et al.
Publicado: (2013) -
Revisiting time discretisation of spiking network models
por: Cessac, Bruno, et al.
Publicado: (2007) -
Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks
por: Cavallari, Stefano, et al.
Publicado: (2014) -
Statistics of spike trains in conductance-based neural networks: Rigorous results
por: Cessac, Bruno
Publicado: (2011) -
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses
por: Nordlie, Eilen, et al.
Publicado: (2010)