Výsledky vyhledávání - "Yoshi Nishitani"

Akademický článek

Learning process for identifying different types of communication via repetitive stimulation: feasibility study in a cultured neuronal network

Autor: Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura

Publikováno v: AIMS Neuroscience, Vol 6, Iss 4, Pp 240-249 (2019)

It is well known that various types of information can be learned and memorized via repetitive training. In brain information science, it is very important to determine how neuronal networks comprising neurons with fluctuating characteristics reliabl

Externí odkaz: https://doaj.org/article/8279966967304b1d900ee015399599f2

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Akademický článek

Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network

Autor: Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura

Publikováno v: AIMS Neuroscience, Vol 5, Iss 1, Pp 18-31 (2017)

Neuronal networks have fluctuating characteristics, unlike the stable characteristics seen in computers. The underlying mechanisms that drive reliable communication among neuronal networks and their ability to perform intelligible tasks remain unknow

Externí odkaz: https://doaj.org/article/ae8e54b009364492ba24046880458931

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Akademický článek

Learning Times Required to Identify the Stimulated Position and Shortening of Propagation Path by Hebb’s Rule in Neural Network

Autor: Shun Sakuma, Yuko Mizuno-Matsumoto, Yoshi Nishitani, Shinichi Tamura

Publikováno v: AIMS Neuroscience, Vol 4, Iss 4, Pp 238-253 (2017)

To deepen the understanding of the human brain, many researchers have created a new way of analyzing neural data. In many previous studies, researchers have examined neural networks from a macroscopic point of view, based on neuronal firing patterns.

Externí odkaz: https://doaj.org/article/d1bb96c9809848e0acc92cd7e764ca36

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Akademický článek

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

Autor: Shun Sakuma, Yuko Mizuno-Matsumoto, Yoshi Nishitani, Shinichi Tamura

Publikováno v: AIMS Neuroscience, Vol 3, Iss 4, Pp 474-486 (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

Externí odkaz: https://doaj.org/article/e168197bd7f748c891cb78dc1a8de737

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Akademický článek

Classification of Spike Wave Propagations in a Cultured Neuronal Network: Investigating a Brain Communication Mechanism

Autor: Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura

Publikováno v: AIMS Neuroscience, Vol 4, Iss 1, Pp 1-13 (2016)

In brain information science, it is still unclear how multiple data can be stored and transmitted in ambiguously behaving neuronal networks. In the present study, we analyze the spatiotemporal propagation of spike trains in neuronal networks. Recentl

Externí odkaz: https://doaj.org/article/b568cbd806224c74a35ea92b829dd12c

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Akademický článek

Feasibility of Multiplex Communication in a 2D Mesh Asynchronous Neural Network with Fluctuations

Autor: Shinichi Tamura, Yoshi Nishitani, Chie Hosokawa

Publikováno v: AIMS Neuroscience, Vol 3, Iss 4, Pp 385-397 (2016)

It remains a mystery how neural networks composed of neurons with fluctuating characteristics can reliably transmit information. In this study, we simulated a 9 × 9 2D mesh neural network consisting of an integrate-and-fire model without leak, and c

Externí odkaz: https://doaj.org/article/b0013e8936714121a04ff9501d494d86

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