Inhibition enhances the coherence in the Jacobi neuronal model
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Publication:2122314
DOI10.1016/j.chaos.2019.07.040zbMath1483.92036arXiv1903.10327OpenAlexW2965527835MaRDI QIDQ2122314
Giuseppe D'Onofrio, Massimiliano Tamborrino, Petr Lansky
Publication date: 6 April 2022
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1903.10327
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)
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Cites Work
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- Fluctuation scaling in neural spike trains
- Fano factor estimation
- Diffusion approximation of the neuronal model with synaptic reversal potentials
- Impact of colored cross-correlated non-Gaussian and Gaussian noises on stochastic resonance and stochastic stability for a metapopulation system driven by a multiplicative signal
- Stochastic resonance in the mutual information between input and output spike trains of noisy central neurons
- Coherence and anti-coherence resonance of corporation finance
- Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses
- Optimum signal in a simple neuronal model with signal-dependent noise
- A single spike suffices: the simplest form of stochastic resonance in model neurons
- Coherence Resonance in a Noise-Driven Excitable System
- The Jacobi diffusion process as a neuronal model
- On two diffusion neuronal models with multiplicative noise: The mean first-passage time properties
- The Ornstein-Uhlenbeck neuronal model with signal-dependent noise
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