# 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
}
}
• Published 2009
• Computer Science, Medicine, Biology, Physics
• Physical review. E, Statistical, nonlinear, and soft matter physics
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… Expand
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#### References

SHOWING 1-10 OF 33 REFERENCES
Memristive model of amoeba’s learning
• Computer Science, Biology
• 2008
It is shown that memristive behaviour can be mapped into the response of a simple electronic circuit consisting of an LC contour and a memory-resistor (a memristor) to a train of voltage pulses that mimic environment changes. Expand
Memristive devices and systems
• Engineering
• Proceedings of the IEEE
• 1976
A broad generalization of memristors--a recently postulated circuit element--to an interesting class of nonlinear dynamical systems called memristive systems is introduced. These systems areExpand
The missing memristor found
• Physics, Medicine
• Nature
• 2008
It is shown, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage. Expand
Spin Memristive Systems: Spin Memory Effects in Semiconductor Spintronics
• Physics
• 2008
Recently, in addition to the well-known resistor, capacitor, and inductor, a fourth passive circuit element, named memristor, has been identified following theoretical predictions. The model exampleExpand
Memristive switching mechanism for metal/oxide/metal nanodevices.
• Materials Science, Medicine
• Nature nanotechnology
• 2008
Experimental evidence is provided to support this general model of memristive electrical switching in oxide systems, and micro- and nanoscale TiO2 junction devices with platinum electrodes that exhibit fast bipolar nonvolatile switching are built. Expand
Memristor-The missing circuit element
A new two-terminal circuit element-called the memristorcharacterized by a relationship between the charge q(t)\equiv \int_{-\infty}^{t} i(\tau) d \tau and the flux-linkage \varphi(t)\equiv \int_{-Expand
Electrochemically controlled polymeric device: a memristor (and more) found two years ago
• Physics
• 2008
We report the fabrication and properties of a polymeric memristor, i.e. an electronic element with memory of its previous history. We show how this element can be viewed as a functional analog of aExpand
Intelligence: Maze-solving by an amoeboid organism
• Biology, Medicine
• Nature
• 2000
It is shown that this simple organism has the ability to find the minimum-length solution between two points in a labyrinth. Expand
Oscillatory contraction activity in Physarum.
The plasmodia of Physarum polycephalum show different oscillatory phenomena (time period approximately 1.3 min) in their contraction behaviour and their protoplasmic flow. The force generating systemExpand
Robot control with biological cells
• Computer Science, Medicine
• Biosyst.
• 2007
This paper presents a bio-hybrid architecture developed for exploring an alternate approach to the control of autonomous robots that combines circuits prepared from amoeboid plasmodia of the slime mold Physarum polycephalum with an omnidirectional hexapod robot. Expand