Memristive model of amoeba learning
Memristive model of amoeba learning
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DOI：
10.1103/physreve.80.021926
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发表时间：
2009-08-01
影响因子：
2.4
通讯作者：
Di Ventra, Massimiliano
中科院分区：
文献类型：
--
作者：
Pershin, Yuriy V.;La Fontaine, Steven;Di Ventra, Massimiliano
最近，研究表明，变形虫细胞多头绒泡菌（Physarum polycephalum）在暴露于周期性环境变化模式时，能够学习并适应其行为，以预期下一个刺激的到来。在这里，我们展示了这种行为可以映射到由LC轮廓和记忆电阻器（忆阻器）组成的简单电子电路对模拟环境变化的电压脉冲序列的响应中。我们还确定了细胞中记忆行为的可能生物学起源。这些生物记忆特征可能发生在其他单细胞和多细胞生物中，尽管形式不同。因此，上述具有学习特性的记忆电路模型有助于更好地理解原始智能的起源。
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 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.