Cargando…
Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation
Stochastic channel gating is the major source of intrinsic neuronal noise whose functional consequences at the microcircuit- and network-levels have been only partly explored. A systematic study of this channel noise in large ensembles of biophysically detailed model neurons calls for the availabili...
Autores principales: | Linaro, Daniele, Storace, Marco, Giugliano, Michele |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3053314/ https://www.ncbi.nlm.nih.gov/pubmed/21423712 http://dx.doi.org/10.1371/journal.pcbi.1001102 |
Ejemplares similares
-
Inferring Network Dynamics and Neuron Properties from Population Recordings
por: Linaro, Daniele, et al.
Publicado: (2011) -
System identification of spiking neuron networks: a model-driven approach
por: Linaro, Daniele, et al.
Publicado: (2011) -
Simple, Fast and Accurate Implementation of the Diffusion Approximation Algorithm for Stochastic Ion Channels with Multiple States
por: Orio, Patricio, et al.
Publicado: (2012) -
On the Firing Rate Dependency of the Phase Response Curve of Rat Purkinje Neurons In Vitro
por: Couto, João, et al.
Publicado: (2015) -
A fast Markovian method for modeling channel noise in neurons
por: Ankri, Norbert, et al.
Publicado: (2023)