%0 Journal Article %1 Izhikevich2003 %A Izhikevich, Eugene M. %D 2003 %J IEEE %K Bursting, Hodgkin–Huxley, PCNN, cortex, integrateand-fire, quadratic spiking, thalamus %P 1569- 1572 %T Simple Model of Spiking Neurons %V 14 %X We present a model that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.

@article{Izhikevich2003, abstract = {We present a model that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.}, added-at = {2012-01-27T14:10:42.000+0100}, author = {Izhikevich, Eugene M.}, biburl = {https://www.bibsonomy.org/bibtex/29bb6018bb78bdfcb807c9f4035725a0f/muhe}, file = {Simple Model of Spiking Neurons.pdf:2003\\Simple Model of Spiking Neurons.pdf:PDF}, interhash = {0ac92a2f98252cd7106fa9233d71bfa3}, intrahash = {9bb6018bb78bdfcb807c9f4035725a0f}, journal = {IEEE}, keywords = {Bursting, Hodgkin–Huxley, PCNN, cortex, integrateand-fire, quadratic spiking, thalamus}, owner = {Mu}, pages = {1569- 1572}, pdf = {English\没什么用的\Simple Model of Spiking Neurons.pdf}, timestamp = {2012-01-27T14:10:55.000+0100}, title = {Simple Model of Spiking Neurons}, volume = 14, year = 2003 }