Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons
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Publication:5441734
DOI10.1162/NECO.2007.19.12.3226zbMath1144.68049OpenAlexW2135736527WikidataQ47835692 ScholiaQ47835692MaRDI QIDQ5441734
Hana Belmabrouk, Arnaud Tonnelier, Dominique Martinez
Publication date: 15 February 2008
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2007.19.12.3226
Related Items (11)
Estimating Parameters of Generalized Integrate-and-Fire Neurons from the Maximum Likelihood of Spike Trains ⋮ On a stochastic neuronal model integrating correlated inputs ⋮ Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks ⋮ On the Performance of Voltage Stepping for the Simulation of Adaptive, Nonlinear Integrate-and-Fire Neuronal Networks ⋮ Analytical insights on theta-gamma coupled neural oscillators ⋮ Spike-Timing Error Backpropagation in Theta Neuron Networks ⋮ Simplicity and Efficiency of Integrate-and-Fire Neuron Models ⋮ A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors ⋮ Accelerating Event-Driven Simulation of Spiking Neurons with Multiple Synaptic Time Constants ⋮ A Markovian event-based framework for stochastic spiking neural networks ⋮ Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons
Cites Work
- A discrete-event neural network simulator for general neuron models
- Oscillatory Synchronization Requires Precise and Balanced Feedback Inhibition in a Model of the Insect Antennal Lobe
- Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation
- Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron
- Exact Simulation of Integrate-and-Fire Models with Synaptic Conductances
- Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies
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