Simple model of spiking neurons

@article{citeulike:423455, abstract = {A model is presented 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.}, author = {Izhikevich, E. M. }, citeulike-article-id = {423455}, doi = {10.1109/TNN.2003.820440}, journal = {Neural Networks, IEEE Transactions on}, keywords = {cell-models, methods, modeling-and-simulation, neuro-coding, neuro-computation, neuro-spike, reviews}, number = {6}, pages = {1569--1572}, posted-at = {2008-06-30 01:56:44}, priority = {2}, title = {Simple model of spiking neurons}, url = {http://dx.doi.org/10.1109/TNN.2003.820440}, volume = {14}, year = {2003} }

TY - JOUR ID - citeulike:423455 L3 - citeulike-article-id:423455 TI - Simple model of spiking neurons JF - Neural Networks, IEEE Transactions on VL - 14 IS - 6 SP - 1569 EP - 1572 N2 - A model is presented 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. KW - cell-models KW - methods KW - modeling-and-simulation KW - neuro-coding KW - neuro-computation KW - neuro-spike KW - reviews AU - Izhikevich, EM PY - 2003/// UR - http://dx.doi.org/10.1109/TNN.2003.820440 ER -