%0 Journal Article %1 Izhikevich2004 %A Izhikevich, Eugene M. %D 2004 %J IEEE Transactions on Neural Networks %K (I&F), (PCNN), Chaos, Hodgkin–Huxley, integrate-and-fire network neural pulse-coupled quadratic spike-timing. %P 1063-1070 %T Which Model to Use for Cortical Spiking Neurons %V 15 %X 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.

@article{Izhikevich2004, 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.}, added-at = {2012-01-27T14:10:42.000+0100}, author = {Izhikevich, Eugene M.}, biburl = {https://www.bibsonomy.org/bibtex/2199549e28f98a10d318796e33847c874/muhe}, file = {Which Model to Use for Cortical Spiking Neurons.pdf:2004\\Which Model to Use for Cortical Spiking Neurons.pdf:PDF}, interhash = {a13a5393b43379f9eb1f1f9ba4edb3b7}, intrahash = {199549e28f98a10d318796e33847c874}, journal = {IEEE Transactions on Neural Networks}, keywords = {(I&F), (PCNN), Chaos, Hodgkin–Huxley, integrate-and-fire network neural pulse-coupled quadratic spike-timing.}, owner = {Mu}, pages = {1063-1070}, pdf = {2004\Which Model to Use for Cortical Spiking Neurons.pdf}, timestamp = {2012-01-27T14:10:55.000+0100}, title = {Which Model to Use for Cortical Spiking Neurons}, volume = 15, year = 2004 }