DocumentCode :
1685434
Title :
Strange responses of the Hodgkin-Huxley model to highly fluctuating inputs
Author :
Sakai, Yutaka ; Yamada, Masahiro ; Yoshizawa, Shuji
Author_Institution :
Dept. of Inf. & Comput. Sci., Saitama Univ., Japan
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1655
Lastpage :
1660
Abstract :
A cortical neuron generates irregular spike sequences including highly variable intervals. This seems to suggest that the neuron receives highly fluctuating synaptic inputs. The simple leaky integrate-and-fire(LIF) model driven by fluctuating inputs exhibits high variability in their spike sequences. The variability of inter-spike intervals(ISIs) becomes larger as the input fluctuation becomes larger. But the Hodgkin-Huxley (HH) model is found to exhibit inverse relationships. The ISI variability becomes smaller as the input fluctuation becomes larger, although the effective strength of inputs is kept to be constant. We report the strange responses of the Hodgkin-Huxley model to highly fluctuating inputs
Keywords :
differential equations; neural nets; neurophysiology; physiological models; Hodgkin-Huxley model; cortical neuron; highly fluctuating inputs; inter-spike intervals; irregular spike sequences; leaky integrate-and-fire model; Biomembranes; Computer science; Differential equations; Fires; Fluctuations; In vitro; In vivo; Nerve fibers; Neurons; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007766
Filename :
1007766
Link To Document :
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