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Using Simulations to Evaluate Input‐Site and Tetanized‐Site Specificity of Tetanic Effect on Neuronal Networks
Author(s) -
Yada Yuichiro,
Haga Tatsuya,
Miyazako Hiroki,
Takayama Yuzo,
Fukayama Osamu,
Hoshino Takayuki,
Mabuchi Kunihiko
Publication year - 2014
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11673
Subject(s) - neuroscience , plasticity , stimulus (psychology) , computer science , biological neural network , neuroplasticity , premovement neuronal activity , biology , psychology , physics , cognitive psychology , thermodynamics
SUMMARY Plasticity of neuronal networks is widely investigated as the basis of learning and stimulus‐induced plasticity is one of the remarkable topics. For inducing plasticity and leading a network to a desired state, effective stimuli have to be applied to the network. However, the effect of stimuli on living neuronal networks is difficult to evaluate because of the unsteadiness of the network property. In this paper, we produce a simulated neuronal network and compare the effects of tetanic stimulus at various sites of networks in silico. Using simulation, the tetanic effects can be evaluated irrespective of network transition. We confirmed that the direction of the network plasticity is determined by the tetanized site in the network, and this can be observed only when the proper test‐stimulus site is selected. We conclude that this simulation‐based approach effectively evaluates the stimulus effect on neuronal networks.