Optical analog feedback in Euglena-based neural network computing

Kazunari Ozasa; Jeesoo Lee; Simon Song; Mizuo Maeda; Masahiko Hara

doi:10.1007/978-3-642-32894-7_24

Optical analog feedback in Euglena-based neural network computing

Kazunari Ozasa^*, Jeesoo Lee, Simon Song, Mizuo Maeda, Masahiko Hara

^*Corresponding author for this work

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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].

Original language	English (US)
Title of host publication	Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings
Pages	236
Number of pages	1
DOIs	https://doi.org/10.1007/978-3-642-32894-7_24
State	Published - 2012
Event	11th International Conference on Unconventional Computation and Natural Computation, UCNC 2012 - Orleans, France Duration: Sep 3 2012 → Sep 7 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7445 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Unconventional Computation and Natural Computation, UCNC 2012
Country/Territory	France
City	Orleans
Period	9/3/12 → 9/7/12

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-32894-7_24

Cite this

Ozasa, K., Lee, J., Song, S., Maeda, M., & Hara, M. (2012). Optical analog feedback in Euglena-based neural network computing. In Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings (pp. 236). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7445 LNCS). https://doi.org/10.1007/978-3-642-32894-7_24

Ozasa, Kazunari ; Lee, Jeesoo ; Song, Simon et al. / Optical analog feedback in Euglena-based neural network computing. Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings. 2012. pp. 236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Optical analog feedback in Euglena-based neural network computing",

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].",

author = "Kazunari Ozasa and Jeesoo Lee and Simon Song and Mizuo Maeda and Masahiko Hara",

year = "2012",

doi = "10.1007/978-3-642-32894-7_24",

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Ozasa, K, Lee, J, Song, S, Maeda, M & Hara, M 2012, Optical analog feedback in Euglena-based neural network computing. in Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7445 LNCS, pp. 236, 11th International Conference on Unconventional Computation and Natural Computation, UCNC 2012, Orleans, France, 9/3/12. https://doi.org/10.1007/978-3-642-32894-7_24

Optical analog feedback in Euglena-based neural network computing. / Ozasa, Kazunari; Lee, Jeesoo; Song, Simon et al.
Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings. 2012. p. 236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7445 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Ozasa K, Lee J, Song S, Maeda M, Hara M. Optical analog feedback in Euglena-based neural network computing. In Unconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings. 2012. p. 236. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-32894-7_24

Optical analog feedback in Euglena-based neural network computing

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