Cargando…
Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks
Models of networks of Leaky Integrate-and-Fire (LIF) neurons are a widely used tool for theoretical investigations of brain function. These models have been used both with current- and conductance-based synapses. However, the differences in the dynamics expressed by these two approaches have been so...
Autores principales: | Cavallari, Stefano, Panzeri, Stefano, Mazzoni, Alberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3943173/ https://www.ncbi.nlm.nih.gov/pubmed/24634645 http://dx.doi.org/10.3389/fncir.2014.00012 |
Ejemplares similares
-
On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based Synapses
por: Cessac, Bruno, et al.
Publicado: (2008) -
Open Source Tools for the Information Theoretic Analysis of Neural Data
por: Ince, Robin A. A., et al.
Publicado: (2010) -
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models
por: Mazzoni, Alberto, et al.
Publicado: (2015) -
Assessing the role of synchronization and phase coherence in neural communication comparing cortical recordings and integrate-and-fire network models
por: Chicharro, Daniel, et al.
Publicado: (2013) -
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)