A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
type: Item
instance of: scholarly article
title: A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
zbMATH Open document ID: 1161.92314
published in: Biological Cybernetics
publication date: 2007-07-17T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 60G35
Mathematics Subject Classification ID: 60J70
Mathematics Subject Classification ID: 92C37
zbMATH DE Number: 5171719
zbMATH Keywords: Integrate-and-fire neuron
zbMATH Keywords: Neural models
zbMATH Keywords: Conductance models
author: Anthony Burkitt
MaRDI profile type: Publication
Wikidata QID: Q36527417
full work available at URL: s00422-006-0082-8
OpenAlex ID: W1969456244
cites work: Dynamics of a recurrent network of spiking neurons before and following learning
cites work: Spike-Driven Synaptic Dynamics Generating Working Memory States
cites work: Quantitative study of attractor neural network retrieving at low spike rates: I. substrate—spikes, rates and neuronal gain
cites work: Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks
cites work: Traveling waves and pulses in a one-dimensional network of excitable integrate-and-fire neurons
cites work: A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators
cites work: Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons.
cites work: Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials
cites work: A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
cites work: Synchronization of the neural response to noisy periodic synaptic input
cites work: How synapses in the auditory system wax and wane: theoretical perspectives
cites work: Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point
cites work: ON THE SUPERPOSITION OF RENEWAL PROCESSES
cites work: Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics
cites work: Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons
cites work: Phase locking in integrate-and-fire models with refractory periods and modulation
cites work: Q4034524
cites work: Probability density function of successive intervals of a nonhomogeneous Poisson process under low-frequency conditions
cites work: Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: Cutting the dimension down to size
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Integrate-and-Fire Models of Nerve Membrane Response to Oscillatory Input
cites work: Stable Propagation of Activity Pulses in Populations of Spiking Neurons
cites work: Modeling collective excitations in cortical tissue
cites work: Chemical oscillations, waves, and turbulence
cites work: Collective synchronization of pulse-coupled oscillators and excitable units
cites work: Moments of the first passage time under external driving
cites work: Stochastic resonance in neuron models
cites work: Bistability and the dynamics of periodically forced sensory neurons
cites work: Q4706442
cites work: Synchronization of Pulse-Coupled Biological Oscillators
cites work: A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application in orientation tuning
cites work: On the simulation of large populations of neurons.
cites work: Unified neurophysical model of EEG spectra and evoked potentials
cites work: The Fokker-Planck equation. Methods of solutions and applications.
cites work: A biologically motivated and analytically soluble model of collective oscillations in the cortex. II: Application to binding and pattern segmentation
cites work: Input-output relationship of the Leaky-integrator neuron model
cites work: Similar nonleaky integrate-and-fire neurons with instantaneous couplings always synchronize
cites work: Q4504416
cites work: A single spike suffices: the simplest form of stochastic resonance in model neurons
cites work: From Kuramoto to Crawford: Exploring the onset of synchronization in population of coupled oscillators
cites work: Precision and reliability of periodically and quasiperiodically driven integrate-and-fire neurons
cites work: Precision of pulse-coupled networks of integrate-and-fire neurons
cites work: Q4039956
cites work: Introduction to Theoretical Neurobiology
cites work: Q3830842
cites work: Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials
cites work: Self-Sustained Firing in Populations of Integrate-and-Fire Neurons
cites work: Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions
DOI: 10.1007/S00422-006-0082-8
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