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• W2116726240 abstract "The topology of a network often plays a crucial role in determining its dynamical features. There is increasing interest in trying to understand the relationship between the structural properties of networks and their behaviors. However, this problem has not been fully considered in many neural networks, which mimic certain biological processes. Here, we construct a recurrent network model to simulate the decision-making process of brain. In this model, we examined the effects of network topology on the performance of decision-making by constructing three different topological networks: the regular network, the random network, and the small-world network. We found that the regular network and the small-world network show significant better performance of decision-making than that in the random network when the internal noise of the networks is low. However, following the increase of the internal noise, the random network, instead of two other networks, shows better ability to resist the noise. Finally, to mimic neurodegeneration or neural injury, we introduced two types of neuronal damages: clustered damage and distributed damage. We found that three networks exhibit different network behaviors in the case of neuronal damages. The regular network and the small-world network display severe decrease of the performance in the distributed damage pattern, but not in the clustered damage pattern. The random network shows similarly gradual decrease of the performance in both damage patterns. Furthermore, the small-world network shows the best performance in the high levels of distributed damage. Together, our results indicate that network topology significantly influence the network behaviors in our model of decision-making." @default.
• W2116726240 created "2016-06-24" @default.
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• W2116726240 date "2009-09-30" @default.
• W2116726240 modified "2023-09-24" @default.
• W2116726240 title "Effects of Network Topology on Decision-Making Behavior in A Biological Network Model" @default.
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• W2116726240 doi "https://doi.org/10.22266/ijies2009.0930.01" @default.
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