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Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. (English) Zbl 1175.68155

Akl, Selim G. (ed.) et al., Unconventional computation. 6th international conference, UC 2007, Kingston, Canada, August 13–17, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-73553-3/pbk). Lecture Notes in Computer Science 4618, 41-54 (2007).
Summary: We employ a photosensitive amoeboid cell known as a model organism for studying cellular information processing, and construct an experimental system for exploring the amoeba’s processing ability of information on environmental light stimuli. The system enables to examine the amoeba’s solvability of various problems imposed by an optical feedback, as the feedback is implemented with a neural network algorithm. We discovered that the amoeba solves the problems by positively exploiting fluctuations and instability of its components. Thus, our system works as a neurocomputer having flexible properties. The elucidation of the amoeba’s dynamics may lead to the development of unconventional computing devices based on nonequilibrium media to utilize fluctuations and instability.
For the entire collection see [Zbl 1124.68001].

MSC:

68Q05 Models of computation (Turing machines, etc.) (MSC2010)
37N25 Dynamical systems in biology
92C37 Cell biology
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