NDLI: A hippocampus CA3 small-world network with two types of stimuli

Content Provider	IEEE Xplore Digital Library
Author	Zhenguo Xiao Dexuan Qi
Copyright Year	2013
Description	Author affiliation: Tianjin Res. Centre of Basic Med. Sci., Tianjin Med. Univ., Tianjin, China (Dexuan Qi) \|\| Dept. of Biomed. Eng., Tianjin Med. Univ., Tianjin, China (Zhenguo Xiao)
Abstract	A neuronal spiking small-world network model of the hippocampus CA3 area is studied. The Izhikevich neuron model is adopted to be a single neuronal vertex in the network model. 120 neurons are connected with small-world network algorithms. The number ratio of excitatory neurons to inhibitory neurons is nearly 5 to 1. The temporal-spatial sequences of neurons are simulated under the stimuli of Gaussian white noise input and sine input. The simulated spike trains are analyzed by the neuronal ensemble rate coding algorithm. When no stimulus applied to the neuronal network model, no ensemble activity is presented. When the two types of stimuli applied to the neuronal network model, the mean firing rates of multi neurons are evidently increased. The increasing of the mean firing rate may indicate the neuronal ensemble activities. Some neurons show ensemble activities during the stimuli.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	343
Ending Page	348
File Size	444290
Page Count	6
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6817998
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Firing neuronal ensemble coding Neurons Sociology small-world network Brain modeling Encoding Mathematical model spike trains Hippocampus Hippocampus CA3 Izhikevich neuron model
Content Type	Text
Resource Type	Article

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