Cargando…
A numerical population density technique for N-dimensional neuron models
Population density techniques can be used to simulate the behavior of a population of neurons which adhere to a common underlying neuron model. They have previously been used for analyzing models of orientation tuning and decision making tasks. They produce a fully deterministic solution to neural s...
Autores principales: | Osborne, Hugh, de Kamps, Marc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354936/ https://www.ncbi.nlm.nih.gov/pubmed/35935536 http://dx.doi.org/10.3389/fninf.2022.883796 |
Ejemplares similares
-
MIIND : A Model-Agnostic Simulator of Neural Populations
por: Osborne, Hugh, et al.
Publicado: (2021) -
Modeling large populations of spiking neurons with a universal population density solver
por: de Kamps, Marc
Publicado: (2013) -
A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs
por: Rosenbaum, Robert
Publicado: (2016) -
pMIIND-an MPI-based population density simulation framework
por: de Kamps, Marc, et al.
Publicado: (2013) -
Mitigating Computer Limitations in Replicating Numerical Simulations of a Neural Network Model With Hodgkin-Huxley-Type Neurons
por: Lopes, Paulo H., et al.
Publicado: (2022)