Noise in genetic and neural networks

scientific article published in June 2006

Noise in genetic and neural networks is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1063/1.2213613
P698PubMed publication ID16822033
P5875ResearchGate publication ID6963072
P894zbMATH Open document ID1146.37335

P50authorPeter S SwainQ37393720
P2093author name stringAndré Longtin
P2860cites workFinite-size dynamics of inhibitory and excitatory interacting spiking neuronsQ47398039
Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedbackQ47854814
Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian NoiseQ47875452
A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapsesQ47894611
The approach of a neuron population firing rate to a new equilibrium: an exact theoretical resultQ47898551
Fast global oscillations in networks of integrate-and-fire neurons with low firing ratesQ47903215
Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamicsQ47907154
Shared and private variability in the auditory cortex.Q51636768
Synchronization and computation in a chaotic neural network.Q51654101
Relation between single neuron and population spiking statistics and effects on network activity.Q51949843
Efficient attenuation of stochasticity in gene expression through post-transcriptional control.Q52561212
Models of the Stochastic Activity of NeuronesQ56331165
Exact stochastic simulation of coupled chemical reactionsQ56536017
Effects of noise in excitable systemsQ58046108
Noise in gene expression: origins, consequences, and controlQ24537307
Stochastic resonanceQ27348062
Stochastic gene expression in a single cellQ28131784
Neuronal variability: noise or part of the signal?Q28247579
Gene regulation at the single-cell levelQ29615954
Control of stochasticity in eukaryotic gene expressionQ29615955
Intrinsic and extrinsic contributions to stochasticity in gene expressionQ29615956
Regulation of noise in the expression of a single geneQ29616626
Stochasticity in gene expression: from theories to phenotypesQ29617360
Noise in eukaryotic gene expressionQ29617406
Stochastic mechanisms in gene expressionQ29617407
The Coherent Feedforward Loop Serves as a Sign-sensitive Delay Element in Transcription NetworksQ34275513
Reconstruction of genetic circuitsQ34470075
Control, exploitation and tolerance of intracellular noiseQ34997459
Noise-based switches and amplifiers for gene expressionQ35047931
Advances in synthetic biology: on the path from prototypes to applicationsQ36194341
P433issue2
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P304page(s)026101
P577publication date2006-06-01
P1433published inChaosQ13461585
P1476titleNoise in genetic and neural networks
P478volume16

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cites work (P2860)
Q34649488A circadian clock-regulated toggle switch explains AtGRP7 and AtGRP8 oscillations in Arabidopsis thaliana
Q33946421A microfluidic processor for gene expression profiling of single human embryonic stem cells
Q50642290Dark proteins: effect of inclusion body formation on quantification of protein expression.
Q64084743Draculab: A Python Simulator for Firing Rate Neural Networks With Delayed Adaptive Connections
Q42872372Fluctuations, pauses, and backtracking in DNA transcription
Q37891665From the stochasticity of molecular processes to the variability of synaptic transmission
Q33369221Increasing the efficiency of bacterial transcription simulations: when to exclude the genome without loss of accuracy
Q33792198Investigating the impact of electrical stimulation temporal distribution on cortical network responses
Q51455502Key role of time-delay and connection topology in shaping the dynamics of noisy genetic regulatory networks.
Q51614470Metastable states and quasicycles in a stochastic Wilson-Cowan model of neuronal population dynamics.
Q57252525NOISE AND OSCILLATIONS IN BIOLOGICAL SYSTEMS: MULTIDISCIPLINARY APPROACH BETWEEN EXPERIMENTAL BIOLOGY, THEORETICAL MODELLING AND SYNTHETIC BIOLOGY
Q47833507Plasmid-borne prokaryotic gene expression: sources of variability and quantitative system characterization
Q26852962Quantification of variability in trichome patterns
Q33313395Recognizing student misconceptions through Ed's Tools and the Biology Concept Inventory
Q40987079Recovering network topologies via Taylor expansion and compressive sensing.
Q47783070Synchronization in a noise-driven developing neural network
Q48741953Transcranial Random Noise Stimulation of Visual Cortex: Stochastic Resonance Enhances Central Mechanisms of Perception.
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Q57446205Wide Range Multiscale Entropy Changes through Development

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