Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe---Based Neural Network Computing

Authors:
Kazunari Ozasa;Masashi Aono;Mizuo Maeda;Masahiko Hara
Affiliations:
RIKEN (The Institute of Physical and Chemical Research), Saitama, Japan 351-0198;RIKEN (The Institute of Physical and Chemical Research), Saitama, Japan 351-0198;RIKEN (The Institute of Physical and Chemical Research), Saitama, Japan 351-0198;RIKEN (The Institute of Physical and Chemical Research), Saitama, Japan 351-0198
Venue:
UC '09 Proceedings of the 8th International Conference on Unconventional Computation
Year:
2009

Citing 3
Cited 1

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Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums

Applied Soft Computing

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Abstract

In order to develop an adaptive computing system, we investigate microscopic optical feedback to a group of microbes (Euglena gracilis in this study) with a neural network algorithm, expecting that the unique characteristics of microbes, especially their strategies to survive/adapt against unfavorable environmental stimuli, will explicitly determine the temporal evolution of the microbe-based feedback system. The photophobic reactions of Euglena are extracted from experiments, and built in the Monte-Carlo simulation of a microbe-based neurocomputing. The simulation revealed a good performance of Euglena -based neurocomputing. Dynamic transition among the solutions is discussed from the viewpoint of feedback instability.