Simulation of Spike Wave Propagation and Two-to-one Communication with Dynamic Time Warping

Shun Sakuma; Yuko Mizuno-Matsumoto; Yoshi Nishitani; Shinichi Tamura; Shun Sakuma; Yuko Mizuno-Matsumoto; Yoshi Nishitani; Shinichi Tamura

doi:10.3934/Neuroscience.2016.4.474

AIMS Neuroscience

2016, Volume 3, Issue 4: 474-486. doi: 10.3934/Neuroscience.2016.4.474

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Research article Recurring Topics

Simulation of Spike Wave Propagation and Two-to-one Communication with Dynamic Time Warping

1.
Graduate School of Applied Informatics, University of Hyogo, Kobe 650-0047, Japan;
2.
Dept. of Radiology, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan;
3.
NBL Technovator Co., Ltd., 631 Shindachimakino, Sennan 590-0522, Japan

Received: 21 September 2016 Accepted: 30 November 2016 Published: 07 December 2016

Although intercommunication among the different areas of the brain is well known, the rules of communication in the brain are not clear. Many previous studies have examined the firing patterns of neural networks in general, while we have examined the involvement of the firing patterns of neural networks in communication. In order to understand information processing in the brain, we simulated the interactions of the firing activities of a large number of neural networks in a 25 × 25 two-dimensional array for analyzing spike behavior. We stimulated the transmitting neurons at 0.1 msec. Then we observed the generated spike propagation for 120 msec. In addition, the positions of the firing neurons were determined with spike waves for different variances in the temporal fluctuations of the neuronal characteristics. These results suggested that for the changes (diversity) in the propagation routes of neuronal transmission resulted from variance in synaptic propagation delays and refractory periods. The simulation was used to examine differences in the percentages of neurons with significantly larger test statistics and the variances in the synaptic delay and refractory period. These results suggested that multiplex communication was more stable if the synaptic delay and refractory period varied.
- Dynamic Time Warping,
- refractory period,
- spike wave,
- synaptic delay
Citation: Shun Sakuma, Yuko Mizuno-Matsumoto, Yoshi Nishitani, Shinichi Tamura. Simulation of Spike Wave Propagation and Two-to-one Communication with Dynamic Time Warping[J]. AIMS Neuroscience, 2016, 3(4): 474-486. doi: 10.3934/Neuroscience.2016.4.474

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Abstract

Although intercommunication among the different areas of the brain is well known, the rules of communication in the brain are not clear. Many previous studies have examined the firing patterns of neural networks in general, while we have examined the involvement of the firing patterns of neural networks in communication. In order to understand information processing in the brain, we simulated the interactions of the firing activities of a large number of neural networks in a 25 × 25 two-dimensional array for analyzing spike behavior. We stimulated the transmitting neurons at 0.1 msec. Then we observed the generated spike propagation for 120 msec. In addition, the positions of the firing neurons were determined with spike waves for different variances in the temporal fluctuations of the neuronal characteristics. These results suggested that for the changes (diversity) in the propagation routes of neuronal transmission resulted from variance in synaptic propagation delays and refractory periods. The simulation was used to examine differences in the percentages of neurons with significantly larger test statistics and the variances in the synaptic delay and refractory period. These results suggested that multiplex communication was more stable if the synaptic delay and refractory period varied.

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