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Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot

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5 Author(s)
Hayashi, I. ; Fac. of Inf., Kansai Univ., Suita, Japan ; Kiyotoki, M. ; Kiyohara, Ai ; Tokuda, M.
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Recently, many attractive brain-computer interface and brain-machine interface have been proposed. The outer computer and machine are controlled by brain action potentials detected through a device such as near-infrared spectroscopy (NIRS) and electroencephalograph (EEG), and some discriminant model determines a control process. In this paper, we introduce a fuzzy bio-interface between a culture dish of rat hippocampal neurons and the khepera robot. We propose a model to analyze logic of signals and connectivity of electrodes in a culture dish, and show the bio-robot hybrid we developed. We believe that the framework of fuzzy system is essential for BCI and BMI, thus name this technology “fuzzy bio-interface”. We show the usefulness of a fuzzy bio-interface through some examples.

Published in:

Neural Networks (IJCNN), The 2011 International Joint Conference on

Date of Conference:

July 31 2011-Aug. 5 2011