Title :
Simple model of spiking neurons
Author :
Izhikevich, Eugene M.
Author_Institution :
The Neurosciences Inst., San Diego, CA, USA
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.
Keywords :
brain models; neural nets; neurophysiology; Hodgkin-Huxley-type dynamics; biologically plausibility; bursting neurons; cortical neurons; quadratic integrate-and-fire neurons; spiking neurons; thalamus; Bifurcation; Biological system modeling; Biology computing; Biomembranes; Brain modeling; Computational modeling; Large-scale systems; Mathematical analysis; Mathematical model; Neurons;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2003.820440
