On dependency properties of the ISIs generated by a two-compartmental neuronal model
From MaRDI portal
Publication:353877
DOI10.1007/S00422-012-0536-0zbMath1267.92018OpenAlexW1982237089WikidataQ47769676 ScholiaQ47769676MaRDI QIDQ353877
Elisa Benedetto, Laura Sacerdote
Publication date: 16 July 2013
Published in: Biological Cybernetics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/2318/129385
Related Items (7)
Stein's neuronal model with pooled renewal input ⋮ Reconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals ⋮ A copula-based method to build diffusion models with prescribed marginal and serial dependence ⋮ Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness ⋮ On Firing Rate Estimation for Dependent Interspike Intervals ⋮ Weak convergence of marked point processes generated by crossings of multivariate jump processes. applications to neural network modeling ⋮ Activity of excitatory neuron with delayed feedback stimulated with Poisson stream is non-Markov
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Morris-Lecar neuron model embeds a leaky integrate-and-fire model
- The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
- Stochastic model neuron without resetting of dendritic potential: Application to the olfactory system
- A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
- An introduction to copulas. Properties and applications
- Dynamics of a compartmental model integrate-and-fire neuron with somatic potential reset
- Two-compartment stochastic model of a neuron
- Ornstein-Uhlenbeck model neuron revisited
- A first passage problem for a bivariate diffusion process: Numerical solution with an application to neuroscience when the process is Gauss-Markov
- 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
- On the relationship between Spearman's rho and Kendall's tau for pairs of continuous random variables
- Testing Non-Nested Models After Estimation by Instrumental Variables or Least Squares
- Differences in Spiking Patterns Among Cortical Neurons
- How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold
- A NEW MEASURE OF RANK CORRELATION
This page was built for publication: On dependency properties of the ISIs generated by a two-compartmental neuronal model
