Cargando…
A large deviation principle for networks of rate neurons with correlated synaptic weights
Autores principales: | Faugeras, Olivier, MacLaurin, James |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704467/ http://dx.doi.org/10.1186/1471-2202-14-S1-P252 |
Ejemplares similares
-
Event-driven mathematical framework for noisy integrate-and-fire neuron networks: spike trains statistics via stochastic calculus, network analysis inspired by queuing theory and an event-driven simulator
por: Touboul, Jonathan, et al.
Publicado: (2007) -
A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks
por: Liu, Chin-Yueh, et al.
Publicado: (2010) -
A maximum likelihood estimator of neural network synaptic weights
por: Taouali, Wahiba, et al.
Publicado: (2013) -
The representation of input correlation structure from multiple pools in the synaptic weights by STDP
por: Gilson, Matthieu, et al.
Publicado: (2010) -
Non-instantaneous synaptic transmission in spiking neuron networks and equivalence with delay distribution
por: Biggio, Matteo, et al.
Publicado: (2013)