Reconstruction of the input signal of the leaky integrate-and-fire neuronal model from its interspike intervals

DOI10.1007/S00422-015-0671-5zbMath1345.92091OpenAlexW2194839101WikidataQ47719414 ScholiaQ47719414MaRDI QIDQ310131

Saeid Reza Seydnejad

Publication date: 8 September 2016

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-015-0671-5

zbMATH Keywords

spiking neuronleaky integrate and fireinterspike intervalneuronal modelingneuronal parameter estimationpresynaptic current

Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• On dependency properties of the ISIs generated by a two-compartmental neuronal model
• The parameters of the stochastic leaky integrate-and-fire neuronal model
• Analysis of integrate-to-threshold neural coding schemes
• Dynamics of a compartmental model integrate-and-fire neuron with somatic potential reset
• 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
• Fokker-Planck and Fortet equation-based parameter estimation for a leaky integrate-and-fire model with sinusoidal and stochastic forcing
• A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models
• Optimum signal in a diffusion leaky integrate-and-fire neuronal model
• Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains
• Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior
• On a Stochastic Leaky Integrate-and-Fire Neuronal Model
• Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
• Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
• Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
• A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
• Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications
• Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
• Spiking Neuron Models
• Hybrid Integrate-and-Fire Model of a Bursting Neuron
• How Sample Paths of Leaky Integrate-and-Fire Models Are Influenced by the Presence of a Firing Threshold
• Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies

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