Pershin Yuriy V, La Fontaine Steven, Di Ventra Massimiliano
Department of Physics, University of California, San Diego, La Jolla, California 92093-0319, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Aug;80(2 Pt 1):021926. doi: 10.1103/PhysRevE.80.021926. Epub 2009 Aug 21.
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.
最近的研究表明，多头绒泡菌这种变形虫状细胞在暴露于周期性环境变化模式时，会学习并提前调整其行为以应对下一个即将到来的刺激。在此我们表明，这种行为可以映射到一个由LC电路和忆阻器（一种忆阻器件）组成的简单电子电路对一串模拟环境变化的电压脉冲的响应上。我们还确定了细胞中忆阻行为可能的生物学起源。这些生物记忆特征很可能也存在于其他单细胞以及多细胞生物中，尽管形式不同。因此，上述具有学习特性的忆阻电路模型，有助于更好地理解原始智能的起源。
