DocumentCode :
141456
Title :
A biological plausible Generalized Leaky Integrate-and-Fire neuron model
Author :
Zhenzhong Wang ; Lilin Guo ; Adjouadi, Malek
Author_Institution :
Dept. of Electr. Eng., Florida Int. Univ., Miami, FL, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
6810
Lastpage :
6813
Abstract :
This study introduces a new Generalized Leaky Integrate-and-Fire (GLIF) neuron model. Unlike Normal Leaky Integrate-and-Fire (NLIF) models, the leaking resistor in the GLIF model equation is assumed to be variable, and an additional term would have the bias current added to the model equation in order to improve the accuracy. Adjusting the parameters defined for the leaking resistor and bias current, a GLIF model could be accurately matched to any Hodgkin-Huxley (HH) model and be able to reproduce plausible biological neuron behaviors.
Keywords :
differential equations; neural nets; neurophysiology; GLIF model equation; GLIF neuron model; Hodgkin-Huxley model; NLIF models; bias current; generalized leaky integrate-and-fire neuron model; leaking resistor; normal leaky integrate-and-fire models; plausible biological neuron behavior; Adaptation models; Biological system modeling; Biomembranes; Computational modeling; Mathematical model; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6945192
Filename :
6945192
Link To Document :
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