Proceedings of JSPE Semestrial Meeting
2014 JSPE Autumn Conference
Session ID : P02
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Study on Electro-polymerization Wiring System Imitating Axonal Growth of Artificial Neurons towards Machine Learning.
*Nguyen Tuan DangMegumi Akai-kasayaTetsuya AsaiAkira SaitoYuji Kuwahara
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Abstract
A study of the electrochemical growing process of polymeric micro/nanowires was carried out on the purpose of brain growth emulation using Machine Learning Algorithm in the combination with acceleration circuits. Polyyrrole (PPy) and Poly 3, 4-Ethylenedioxythiophene (PEDOT) conductive polymer wires have dendritically grown inside electrolyte solution placing between the designated microelectrodes, which were prefabricated by lithography, under an applying of directed current (DC) square wave voltage signal. This study will demonstrate the growing process of PPy and PEDOT wires and point out its unique characteristic potentiality in application of machine learning and artificial neural networks, the core research of dynamic brain growth emulation.
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© 2014 The Japan Society for Precision Engineering
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