A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony

DOI10.1007/s10827-014-0543-3zbMath1409.92016OpenAlexW2131672089WikidataQ47736191 ScholiaQ47736191MaRDI QIDQ1732712

Aaditya V. Rangan, Jiwei Zhang

Publication date: 25 March 2019

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-014-0543-3

zbMATH Keywords

ensemble averageintegrate and firespiking networkcoarse grain

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items (2)

A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration ⋮ A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs

Cites Work

• Dynamics of spiking neurons: between homogeneity and synchrony
• Dynamics of current-based, Poisson driven, integrate-and-fire neuronal networks
• Alternating oscillatory and stochastic dynamics in a model for a neuronal assembly
• Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
• A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony
• Synchrony and Periodicity in Excitable Neural Networks with Multiple Subpopulations
• Synchronization of Pulse-Coupled Biological Oscillators
• Motif statistics and spike correlations in neuronal networks
• A population approach to cortical dynamics with an application to orientation tuning
• Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity

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