Memristive model of amoeba learning
ORAL
Abstract
Recently, it was shown that the amoeba-like cell Physarum polycephalum when exposed to a pattern of periodic environmental changes learns and adapts its behavior in anticipation of the next stimulus to come. Here we show that such behavior can be mapped into the response of a simple electronic circuit consisting of a LC contour and a memory-resistor (a memristor) to a train of voltage pulses that mimic environment changes [1]. We also discuss a possible biological origin of the memristive behavior in the cell. These biological memory features are likely to occur in other unicellular as well as multicellular organisms, albeit in different forms. Therefore, the above memristive circuit model, which has learning properties, is useful to better understand the origins of primitive intelligence. [1] Yu. V. Pershin, S. La Fontaine, and M. Di Ventra, Phys. Rev. E 80, 021926 (2009)
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Authors
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Yuriy Pershin
Department of Physics and Astronomy and USC Nanocenter, University of South Carolina, University of South Carolina, Columbia
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Steven La Fontaine
Department of Physics, University of California, San Diego
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Massimiliano Di Ventra
University of California, San Diego, Department of Physics, University of California, San Diego, UCSD