Populations of Tightly Coupled Neurons: The RGC/LGN System
From MaRDI portal
Publication:5387445
DOI10.1162/NECO.2007.03-07-482zbMath1138.92016OpenAlexW1978777739WikidataQ46875347 ScholiaQ46875347MaRDI QIDQ5387445
Publication date: 13 May 2008
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2007.03-07-482
Neural biology (92C20) Dynamical systems in biology (37N25) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Related Items (5)
Firing-rate models capture essential response dynamics of LGN relay cells ⋮ A Principled Dimension-Reduction Method for the Population Density Approach to Modeling Networks of Neurons with Synaptic Dynamics ⋮ Finite volume and asymptotic methods for stochastic neuron models with correlated inputs ⋮ An efficient method for simulation of noisy coupled multi-dimensional oscillators ⋮ Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach
Cites Work
- A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application in orientation tuning
- On the simulation of large populations of neurons.
- An analysis of Stein's model for stochastic neuronal excitation
- Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size
- Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
- Dynamics of a recurrent network of spiking neurons before and following learning
- Dynamics of Neuronal Populations: The Equilibrium Solution
- A population approach to cortical dynamics with an application to orientation tuning
- A Population Study of Integrate-and-Fire-or-Burst Neurons
- A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
This page was built for publication: Populations of Tightly Coupled Neurons: The RGC/LGN System
