Scinovex
articleTop 1% cited

Which Model to Use for Cortical Spiking Neurons?

IEEE Transactions on Neural Networks · 2004 · Vol. 15(5) · pp. 1063–1070
Eugene M. Izhikevich

Abstract

We discuss the biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons. We compare their applicability to large-scale simulations of cortical neural networks.

Advanced Memory and Neural ComputingNeural dynamics and brain functionstochastic dynamics and bifurcationSpiking neural networkBurstingComputer scienceCortical neuronsComputational modelArtificial neural networkNeuroscienceArtificial intelligenceNeurophysiologyComputational neuroscience

MeSH terms

Action PotentialsAnimalsCerebral CortexHumansModels, NeurologicalNerve NetNeural PathwaysSynaptic TransmissionNeuronsReaction TimeSynapsesNonlinear Dynamics
Citations
2,525
FWCI
43.81
field-weighted impact
References
27
Percentile
100%
vs. same field & year
Citations per year
Cited by
Polychronization: Computation with Spikes
Neural Computation · 2005 · 1,065 citations
References
Voltage oscillations in the barnacle giant muscle fiber
Biophysical Journal · 1981 · 2,300 citations
Intrinsic firing patterns of diverse neocortical neurons
Trends in Neurosciences · 1990 · 1,457 citations
Bursts as a unit of neural information: making unreliable synapses reliable
Trends in Neurosciences · 1997 · 1,437 citations
Type I Membranes, Phase Resetting Curves, and Synchrony
Neural Computation · 1996 · 1,017 citations
Simple model of spiking neurons
IEEE Transactions on Neural Networks · 2003 · 4,751 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.