Protoplasmic Computing to Memorize and Recall Periodic Environmental Events
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Single-celled organisms might be more intelligent than previously envisaged -. The acts of anticipating and recalling events are higher functions performed by the brains of higher animals; their evolutionary origins and the way they self-organize, however, remain open questions. Here we show that an amoeboid organism can anticipate the timing of periodic events. The plasmodium of the true slime mold Physarum polycephalum moves rapidly under favorable conditions, but stops moving when transferred to less-favorable conditions. For example, plasmodia exposed to low temperature and low humidity, presented in three consecutive pulses at constant intervals, reduced their locomotive speed in response to each episode. When favorable conditions were subsequently reintroduced, the plasmodia spontaneously reduced their locomotive speed at the point in time when the next unfavorable episode would have occurred. This implies that the plasmodia are able to anticipate impending environmental change. After this anticipatory response had been evoked several times, the locomotion of the plasmodia returned to normal speed; however, the slowing down could subsequently be induced by a single unfavorable pulse, implying recall of the periodicity that had been memorized. We have explored the mechanisms underlying this behavior from a dynamical systems perspective. Our results suggest that this primitive intelligence is of cellular origin and that simple dynamics might be sufficient to explain its emergence. abstract environment.
KeywordsPhysarum cell memory subcellular computing primitive intelligence
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- 1.Nakagaki, T., Yamada, H., Tóth, Á.: Maze-solving by an amoeboid organism. Nature 407, 470 (2000)Google Scholar
- 2.Nakagaki, T., Yamada, H., Tóth, Á.: Path finding by tube morphogenesis in an amoeboid organism. Biophys. Chem. 92, 47–52 (2001)Google Scholar
- 4.Nakagaki, T., Yamada, H., Hara, M.: Smart network solutions in an amoeboid organism. Biophys. Chem. 107, 1–5 (2004)Google Scholar
- 5.Nakagaki, T.: Smart behavior of true slime mold in labyrinth. Res. Microbiol. 152, 767–770 (2001)Google Scholar
- 10.Ueda, T., Nakagaki, T., Kobatake, Y.: Patterns in intracellular ATP distribution and rhythmic contraction in relation to amoeboid locomotion in the plasmodium of Physarum polycephalum. Protoplasma (suppl. 1), 51–56 (1988)Google Scholar
- 11.Saigusa, T., Tero, A., Nakagaki, T., Kuramoto, Y.: Amoebae anticipate periodic events. Phys. Rev. Lett. 100, 018101 (2008)Google Scholar