Optical analog feedback in Euglena-based neural network computing

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationUnconventional Computation and Natural Computation - 11th International Conference, UCNC 2012, Proceedings
Pages236
Number of pages1
DOIs
StatePublished - 2012
Externally publishedYes
Event11th International Conference on Unconventional Computation and Natural Computation, UCNC 2012 - Orleans, France
Duration: Sep 3 2012Sep 7 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7445 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Unconventional Computation and Natural Computation, UCNC 2012
Country/TerritoryFrance
CityOrleans
Period9/3/129/7/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Optical analog feedback in Euglena-based neural network computing'. Together they form a unique fingerprint.

Cite this