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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References
Ozasa, K., Lee, J., Song, S., Hara, M., Maeda, M.: Implementation of microbe-based neurocomputing with Euglena cells confined in microaquariums. Int. J. Unconventional Comput. 7, 481–499 (2011)
Ozasa, K., Lee, J., Song, S., Hara, M., Maeda, M.: Two-dimensional optical feedback control of Euglena confined in closed-type microfluidic channels. Lab Chip 11, 1933–1940 (2011)
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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: Durand-Lose, J., Jonoska, N. (eds) Unconventional Computation and Natural Computation. UCNC 2012. Lecture Notes in Computer Science, vol 7445. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32894-7_24
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DOI: https://doi.org/10.1007/978-3-642-32894-7_24
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