Memristive model of amoeba learning.

@article{Pershin2009MemristiveMO,
  title={Memristive model of amoeba learning.},
  author={Yuriy V. Pershin and Steven La Fontaine and Massimiliano Di Ventra},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2009},
  volume={80 2 Pt 1},
  pages={
          021926
        }
}
Recently, it was shown that the amoebalike 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. We also identify a possible biological origin of the memristive behavior… 

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