Memristive model of amoeba’s learning
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- University of South Carolina, Department of Physics and Astronomy and USC Nanocenter
- University of California San Diego, Department of Physics
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- Document Type:
- Manuscript
- Date:
- Received 22 October 2008 23:13 UTC; Posted 24 October 2008
- Subjects:
- Ecology, Molecular Cell Biology, Bioinformatics
- Abstract:
Recently, behavioural intelligence of the plasmodia of the true slime mold has been demonstrated. It was shown that a large amoeba-like cell Physarum polycephalum subject to a pattern of periodic environmental changes learns and changes its behaviour in anticipation of the next stimulus to come. Currently, it is not known what specific mechanisms are responsible for such behaviour. Here, we show that such 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. We identify a possible microscopic origin of the memristive behaviour in the Physarum polycephalum, which together with the naturally occurring biological oscillators, forms the basis of the amoeba’s learning. These microscopic memristive 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.
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- This document is licensed to the public under the Creative Commons Attribution 3.0 License
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Pershin, Yuriy, La Fontaine, Steven, and Di Ventra, Massimiliano . Memristive model of amoeba’s learning. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2008.2431.1> (2008)
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sekhar dmr on 30 October 2008 18:20 UTC
Very interesting. There are studies which suggest that plants also show intelligent behavior. Probably one needs to look at the genome to trace the origin of native intelligence.
DMR Sekhar.