Optical analog feedback in Euglena-based neural network computing
- Authors
- Ozasa, Kazunari; Lee, Jeesoo; Song, Simon; Maeda, Mizuo; Hara, Masahiko
- Issue Date
- Sep-2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.7445 LNCS, pp.236 - 236
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volume
- 7445 LNCS
- Start Page
- 236
- End Page
- 236
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164846
- DOI
- 10.1007/978-3-642-32894-7_24
- ISSN
- 1611-3349
- Abstract
- Using living microbial cells in computational processing is a fascinating challenge to incorporate their autonomous adaptation and exploration abilities into a physical computing algorithm [1]. When the stimulus to the cells is given as analog values, more flexible solutions would be expected in microbe-based neurocomputing [1] owing to the diversity of reaction threshold among the cells. We have investigated the optical analog feedback in Euglena-based neurocomputing, for a task to select some from 16 compartments with avoiding the first and second nearest compartments [2].
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