Construction and analysis of an artificial neuronal network using a neuron-collecting, micro-patterning method based on a multi-electrode array system

Hideyuki Terazono, Hyonchol Kim, Masahito Hayashi, Akihiro Hattori, Hiroyuki Takei, Kenji Yasuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We developed three techniques to make artificial neuronal networks constructed from rat hippocampal neurons. 1) a method of non-invasively collecting primary cultured neurons and their deposition, 2) a technique for microprocessing agarose for the purpose of assembling artificial neuronal networks, 3) a multi-electrode array system for measurement of the multi-point extracellular potential of neurons. The three techniques allow us to assemble and evaluate artificial neuronal networks constructed from particular cells. We can manipulate neuro-transmission pathways and investigate roles played by the innate period or stability information for each individual cell in the framework of physiological mechanism. It is thus possible to construct and demonstrated the actual neuronal networks simulated by the computed neural networks.

Original languageEnglish
Title of host publicationNCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications
Pages304-307
Number of pages4
Publication statusPublished - 2011 Dec 1
Externally publishedYes
EventInternational Conference on Neural Computation Theory and Applications, NCTA 2011 - Paris, France
Duration: 2011 Oct 242011 Oct 26

Publication series

NameNCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications

Other

OtherInternational Conference on Neural Computation Theory and Applications, NCTA 2011
CountryFrance
CityParis
Period11/10/2411/10/26

Keywords

  • Agarose
  • Alginate
  • Artificial neuronal networks
  • Hippocampal neurons
  • Micro-chip
  • Micro-patterning
  • Multi-electrode

ASJC Scopus subject areas

  • Applied Mathematics

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