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

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 unknown. Recently, in an attempt to resolve this issue,...

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Main Authors: Yoshi Nishitani, Chie Hosokawa, Yuko Mizuno-Matsumoto, Tomomitsu Miyoshi, Shinichi Tamura
Format: Article
Language:English
Published: AIMS Press 2017-12-01
Series:AIMS Neuroscience
Subjects:
Online Access:http://www.aimspress.com/neuroscience/article/1771/fulltext.html
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author Yoshi Nishitani
Chie Hosokawa
Yuko Mizuno-Matsumoto
Tomomitsu Miyoshi
Shinichi Tamura
author_facet Yoshi Nishitani
Chie Hosokawa
Yuko Mizuno-Matsumoto
Tomomitsu Miyoshi
Shinichi Tamura
author_sort Yoshi Nishitani
collection DOAJ
description 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 unknown. Recently, in an attempt to resolve this issue, we showed that stimulated neurons communicate <em>via</em> spikes that propagate temporally, in the form of spike trains. We named this phenomenon “<em>spike wave propagation</em>”. In these previous studies, using neural networks cultured from rat hippocampal neurons, we found that multiple neurons, <em>e.g.</em>, 3 neurons, correlate to identify various spike wave propagations in a cultured neuronal network. Specifically, the number of <em>classifiable neurons</em> in the neuronal network increased through correlation of spike trains between current and adjacent neurons. Although we previously obtained similar findings through stimulation, here we report these observations on a physiological level. Considering that individual spike wave propagation corresponds to individual communication, a correlation between some adjacent neurons to improve the quality of communication classification in a neuronal network, similar to a diversity antenna, which is used to improve the quality of communication in artificial data communication systems, is suggested.
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spelling doaj.art-ae8e54b009364492ba240468804589312022-12-22T02:34:00ZengAIMS PressAIMS Neuroscience2373-79722017-12-0151183110.3934/Neuroscience.2018.1.18Neurosci-05-00018Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal networkYoshi Nishitani0Chie Hosokawa1Yuko Mizuno-Matsumoto2Tomomitsu Miyoshi3Shinichi Tamura4<sup>1</sup> Department of Radiology, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan<sup>2</sup> Biomedical Research Institute and Advanced Photonics and Biosensing Open Innovation Laboratory, AIST, Ikeda, Osaka 563-8577, Japan<sup>3</sup> Graduate School of Applied Informatics, University of Hyogo, Kobe 650-0044, Japan<sup>4</sup> Department of Integrative Physiology, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan<sup>5</sup> NBL Technovator Co., Ltd., Sennan 590-0522, JapanNeuronal 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 unknown. Recently, in an attempt to resolve this issue, we showed that stimulated neurons communicate <em>via</em> spikes that propagate temporally, in the form of spike trains. We named this phenomenon “<em>spike wave propagation</em>”. In these previous studies, using neural networks cultured from rat hippocampal neurons, we found that multiple neurons, <em>e.g.</em>, 3 neurons, correlate to identify various spike wave propagations in a cultured neuronal network. Specifically, the number of <em>classifiable neurons</em> in the neuronal network increased through correlation of spike trains between current and adjacent neurons. Although we previously obtained similar findings through stimulation, here we report these observations on a physiological level. Considering that individual spike wave propagation corresponds to individual communication, a correlation between some adjacent neurons to improve the quality of communication classification in a neuronal network, similar to a diversity antenna, which is used to improve the quality of communication in artificial data communication systems, is suggested.http://www.aimspress.com/neuroscience/article/1771/fulltext.htmlcultured neuronal networkspike wave propagationadjacent neuronsidentifying communicationsmicroelectrode array
spellingShingle Yoshi Nishitani
Chie Hosokawa
Yuko Mizuno-Matsumoto
Tomomitsu Miyoshi
Shinichi Tamura
Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
AIMS Neuroscience
cultured neuronal network
spike wave propagation
adjacent neurons
identifying communications
microelectrode array
title Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
title_full Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
title_fullStr Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
title_full_unstemmed Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
title_short Effect of correlating adjacent neurons for identifying communications: Feasibility experiment in a cultured neuronal network
title_sort effect of correlating adjacent neurons for identifying communications feasibility experiment in a cultured neuronal network
topic cultured neuronal network
spike wave propagation
adjacent neurons
identifying communications
microelectrode array
url http://www.aimspress.com/neuroscience/article/1771/fulltext.html
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AT yukomizunomatsumoto effectofcorrelatingadjacentneuronsforidentifyingcommunicationsfeasibilityexperimentinaculturedneuronalnetwork
AT tomomitsumiyoshi effectofcorrelatingadjacentneuronsforidentifyingcommunicationsfeasibilityexperimentinaculturedneuronalnetwork
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