DocumentCode
1798450
Title
Clustering and synchronous firing of coupled Rulkov maps with STDP for modeling epilepsy
Author
Shibuya, N. ; Unsworth, Charles ; Uwate, Yoko ; Nishio, Yusuke
Author_Institution
Dept. of Electr. & Electr. Eng., Univ. of Tokushima, Tokushima, Japan
fYear
2014
fDate
6-11 July 2014
Firstpage
4302
Lastpage
4307
Abstract
Epilepsy of the neuropsychiatric disorder is provoked from an imbalance in the long-term potentiation (LTP) versus long-term depression (LTD) of the synapses in the hippocampus. The LTP and LTD are replicated by using the Spike Timing Dependent Plasticity (STDP). Additionally, the spiking activity of the synapses in the hippocampus can be approximated by using the Rulkov maps. In our previous study, we considered some easy simulation models which are constructed by using Rulkov maps with STDP. Moreover, these simulation models consist of unidirectionally coupled neurons. In this paper, we consider some easy simulation models with bidirectionally coupled neurons. We explore the effect of unidirectional and bidirectional connection on spiking activity, as basic simulation for constructing the approximate simulation model of epilepsy. From these results, the unidirectional models show high accuracy in-phase/anti-phase synchronization, and it shows divergent relatively early. The bidirectional models show the stable waveform (i.e., non-divergent) for a long term compared to unidirectional models.
Keywords
medical disorders; neural nets; neurophysiology; pattern clustering; LTD; LTP; Rulkov maps synchronous firing; STDP; bidirectional connection; bidirectional models; bidirectionally coupled neurons; clustering; epilepsy; hippocampus synapses; in-phase-anti-phase synchronization; long-term depression; long-term potentiation; neuropsychiatric disorder; spike timing dependent plasticity; synapses spiking activity; unidirectional connection; unidirectional models; Conferences; Joints; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889962
Filename
6889962
Link To Document