Works matching IS 21908567 AND DT 2014 AND VI 4
Results: 15
Adaptation and Fatigue Model for Neuron Networks and Large Time Asymptotics in a Nonlinear Fragmentation Equation.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-14
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Numerical Bifurcation Theory for High-Dimensional Neural Models.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-13
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Network Symmetry and Binocular Rivalry Experiments.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-12
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Frequency Preference Response to Oscillatory Inputs in Two-dimensional Neural Models: A Geometric Approach to Subthreshold Amplitude and Phase Resonance.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-11
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Cross-Correlations and Joint Gaussianity in Multivariate Level Crossing Models.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-22
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Approximate, not Perfect Synchrony Maximizes the Downstream Effectiveness of Excitatory Neuronal Ensembles.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-10
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Identification of Criticality in Neuronal Avalanches: II. A Theoretical and Empirical Investigation of the Driven Case.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-9
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Effects of Synaptic Plasticity on Phase and Period Locking in a Network of Two Oscillatory Neurons.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-8
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Editorial for the Special Issue on Uncertainty in the Brain.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-7
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Measuring Edge Importance: A Quantitative Analysis of the Stochastic Shielding Approximation for Random Processes on Graphs.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-6
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How Uncertainty Bounds the Shape Index of Simple Cells.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-5
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Fokker-Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-4
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Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-3
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A Density Model for a Population of Theta Neurons.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-2
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Large Deviations for Nonlocal Stochastic Neural Fields.
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- Journal of Mathematical Neuroscience, 2014, v. 4, p. 1, doi. 10.1186/2190-8567-4-1
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