Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV?
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Publication:1617507
DOI10.1016/j.jtbi.2008.11.004zbMath1400.92027arXiv0912.2366OpenAlexW1976016717WikidataQ37343620 ScholiaQ37343620MaRDI QIDQ1617507
Benjamin Lindner, Rafael D. Vilela
Publication date: 8 November 2018
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0912.2366
Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)
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Improved lower bound for the mutual information between signal and neural spike count ⋮ Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations ⋮ The gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model ⋮ Fluctuation scaling in neural spike trains ⋮ Information filtering by synchronous spikes in a neural population ⋮ Estimating nonstationary inputs from a single spike train based on a neuron model with adaptation ⋮ Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise ⋮ Resolving molecular contributions of ion channel noise to interspike interval variability through stochastic shielding ⋮ Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation ⋮ Estimation of biophysical parameters in a neuron model under random fluctuations ⋮ Integrate-and-fire neurons driven by asymmetric dichotomous noise
Cites Work
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- The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
- Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron
- A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
- Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
- Ornstein-Uhlenbeck model neuron revisited
- On the parameter estimation for diffusion models of single neuron's activities. I: Application to spontaneous activities of mesencephalic reticular formation cells in sleep and waking states
- A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
- Minimal Models of Adapted Neuronal Response to In Vivo–Like Input Currents
- Introduction to Theoretical Neurobiology
- Spiking Neuron Models
- Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
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