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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hayashi, I. Kiyotoki, M. Kiyohara, A. Tokuda, M. Kudoh, S.N. |
| Copyright Year | 2010 |
| Description | Author affiliation: Graduate School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo 669-1337 (Kiyohara, A.) || Graduate School of Science and Technology, Kwansei Gakuin University, Sanda, Hyogo 669-1337, Japan (Tokuda, M.; Kudoh, S.N.) || Faculty of Informatics, Kansai University, Takatsuki, Osaka 569-1095, Japan (Hayashi, I.; Kiyotoki, M.) |
| Abstract | Brain-computer-interface has been come into the research limelight. Network dynamics of neurons strongly effects to a control of computer or machine in the outer world. Dissociated culture system with multi-electrode array is useful for elucidation of network dynamics of neurons. We have been investigating action potentials of rat hippocampal neurons cultured on the dish connecting with the outer robot. However, we don't exactly comprehend logicality of living neuronal networks. In this paper, we identify logicality of living neuronal networks with three electrodes in mult-electrode array using fuzzy connective operators consisting of t — norm and t — conorm operators, and we introduce a straight running of fuzzy bio-robot. We concluded that the logicality of living neuronal networks is dynamically changed to weak OR connection from strong AND connection. Additionally, by applying the fuzzy bio-robot to a straight running, we analyzed plasticity of living neuronal network connected to the robot, and we discussed regularity of logical potential response of the neuronal networks. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 1889116 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424469192 |
| ISSN | 10987584 |
| e-ISBN | 9781424469215 |
| DOI | 10.1109/FUZZY.2010.5584887 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-18 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Biological neural networks Neurons Electric potential Arrays Robot sensing systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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