Analysis of a stochastic neuronal model with excitatory inputs and state-dependent effects
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Publication:2466549
DOI10.1016/j.mbs.2007.03.008zbMath1126.92009OpenAlexW2047723338WikidataQ51916091 ScholiaQ51916091MaRDI QIDQ2466549
Barbara Martinucci, Antonio Di Crescenzo
Publication date: 15 January 2008
Published in: Mathematical Biosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mbs.2007.03.008
first-passage timestochastic neuronal modelfiring timesexcitatory stimulifiring densityfiring moments
Related Items (6)
Stein's neuronal model with pooled renewal input ⋮ A two-state neuronal model with alternating exponential excitation ⋮ A First-Passage-Time Problem for Symmetric and Similar Two-Dimensional Birth–Death Processes ⋮ Asymptotic results for first-passage times of some exponential processes ⋮ Probabilistic analysis of systems alternating for state-dependent dichotomous noise ⋮ On a First-Passage-Time Problem for the Compound Power-Law Process
Cites Work
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- The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
- Diffusion approximation of the neuronal model with synaptic reversal potentials
- The effect of a random initial value in neural first-passage-time models
- An analysis of Stein's model for stochastic neuronal excitation
- Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input
- A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
- A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
- NONHOMOGENEOUS POISSON PROCESSES AND LOGCONCAVITY
- Reliability applications of the relevation transform
- Introduction to Theoretical Neurobiology
- Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes
- Computer Aided Systems Theory – EUROCAST 2005
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