Title :
Which model to use for cortical spiking neurons?
Author :
Izhikevich, Eugene M.
Author_Institution :
Neurosci.s Inst., San Diego, CA, USA
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.
Keywords :
neural nets; neurophysiology; biological plausibility; bursting neurons; computational efficiency; cortical neural networks; cortical spiking neurons; Artificial neural networks; Biological neural networks; Biological system modeling; Computational efficiency; Computational modeling; Fires; Frequency; Information processing; Large-scale systems; Neurons; Action Potentials; Animals; Cerebral Cortex; Humans; Models, Neurological; Nerve Net; Neural Pathways; Neurons; Nonlinear Dynamics; Reaction Time; Synapses; Synaptic Transmission;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2004.832719
