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Authors: Hideyuki Terazono 1 ; Hyonchol Kim 1 ; Masahito Hayashi 1 ; Akihiro Hattori 2 ; Hiroyuki Takei 3 and Kenji Yasuda 4

Affiliations: 1 Kanagawa Academy of Science and Technology, Japan ; 2 Institute of Biomaterials and Bioengineering and Tokyo Medical and Dental University, Japan ; 3 Kanagawa Academy of Science and Technology, Faculty of Life Sciences and Toyo University, Japan ; 4 Kanagawa Academy of Science and Technology, Institute of Biomaterials and Bioengineering and Tokyo Medical and Dental University, Japan

ISBN: 978-989-8425-84-3

Keyword(s): Artificial neuronal networks, Hippocampal neurons, Micro-chip, Agarose, Alginate, Micro-patterning, Multi-electrode.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bio-Inspired and Humanoid Robotics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

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.

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Paper citation in several formats:
Terazono, H.; Kim, H.; Hayashi, M.; Hattori, A.; Takei, H. and Yasuda, K. (2011). CONSTRUCTION AND ANALYSIS OF AN ARTIFICIAL NEURONAL NETWORK USING A NEURON-COLLECTING, MICRO-PATTERNING METHOD BASED ON A MULTI-ELECTRODE ARRAY SYSTEM.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 304-307. DOI: 10.5220/0003641203040307

@conference{ncta11,
author={Hideyuki Terazono. and Hyonchol Kim. and Masahito Hayashi. and Akihiro Hattori. and Hiroyuki Takei. and Kenji Yasuda.},
title={CONSTRUCTION AND ANALYSIS OF AN ARTIFICIAL NEURONAL NETWORK USING A NEURON-COLLECTING, MICRO-PATTERNING METHOD BASED ON A MULTI-ELECTRODE ARRAY SYSTEM},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={304-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003641203040307},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - CONSTRUCTION AND ANALYSIS OF AN ARTIFICIAL NEURONAL NETWORK USING A NEURON-COLLECTING, MICRO-PATTERNING METHOD BASED ON A MULTI-ELECTRODE ARRAY SYSTEM
SN - 978-989-8425-84-3
AU - Terazono, H.
AU - Kim, H.
AU - Hayashi, M.
AU - Hattori, A.
AU - Takei, H.
AU - Yasuda, K.
PY - 2011
SP - 304
EP - 307
DO - 10.5220/0003641203040307

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