Noise in genetic and neural networks

DOI10.1063/1.2213613zbMath1146.37335OpenAlexW2039294433WikidataQ47593717 ScholiaQ47593717MaRDI QIDQ3531605

Peter S. Swain, André Longtin

Publication date: 3 November 2008

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/926fb8f07a91b1c9cafbc0e07b2913e3afff11b8

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Genetics and epigenetics (92D10)

Related Items (7)

Sparse Bayesian learning for network structure reconstruction based on evolutionary game data ⋮ Identifying partial topology of complex networks with stochastic perturbations and time delay ⋮ The correlation between intrinsic noise and extrinsic noise ⋮ Recovering network topologies via Taylor expansion and compressive sensing ⋮ Stochastic switching in biology: from genotype to phenotype ⋮ Existence of a unique invariant measure for a class of equicontinuous Markov operators with application to a stochastic model for an autoregulated gene ⋮ Regulation of Chemical Autapse on an FHN-ML Neuronal System

Cites Work

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• Noise-induced transitions. Theory and applications in physics, chemistry, and biology
• Stochastic resonance in neuron models
• Spiking Neuron Models
• Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
• A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses

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