How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold

DOI10.1162/NECO_a_00143zbMath1218.92018OpenAlexW1966169505WikidataQ45802140 ScholiaQ45802140MaRDI QIDQ5198605

Maria Teresa Giraudo, Laura Sacerdote, Prescilla E. Greenwood

Publication date: 9 August 2011

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00143

Mathematics Subject Classification ID

Neural biology (92C20) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)

Related Items (7)

Reconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals ⋮ A new firing paradigm for integrate and fire stochastic neuronal models ⋮ On dependency properties of the ISIs generated by a two-compartmental neuronal model ⋮ Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications ⋮ Estimation in Discretely Observed Diffusions Killed at a Threshold ⋮ Inference on the effect of non homogeneous inputs in Ornstein-Uhlenbeck neuronal modeling ⋮ Parameter inference from hitting times for perturbed Brownian motion

Cites Work

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• A Monte Carlo method for the simulation of first passage times of diffusion processes
• On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity
• 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
• A new integral equation for the evaluation of first-passage-time probability densities
• An improved technique for the simulation of first passage times for diffusion processes
• Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate
• Estimation in Discretely Observed Diffusions Killed at a Threshold
• On the First Passage Time Probability Problem

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