IEEE Trans Neural Netw Learn Syst. 2013 Sep;24(9):1437-48. doi: 10.1109/TNNLS.2013.2261545.
Adaptive response to varying environment is a common feature of biological organisms. Reproducing such features in electronic systems and circuits is of great importance for a variety of applications. We consider memory models inspired by an intriguing ability of slime molds to both memorize the period of temperature and humidity variations and anticipate the next variations to come, when appropriately trained. Effective circuit models of such behavior are designed using: 1) a set of LC contours with memristive damping and 2) a single memcapacitive system-based adaptive contour with memristive damping. We consider these two approaches in detail by comparing their results and predictions. Finally, possible biological experiments that would discriminate between the models are discussed. In this paper, we also introduce an effective description of certain memory circuit elements.
适应不断变化的环境是生物有机体的共同特征。在电子系统和电路中复制这些特征对于各种应用非常重要。我们考虑了受粘菌令人着迷的能力启发的记忆模型，当经过适当训练时，它们既能记住温度和湿度变化的周期，又能预测接下来的变化。使用以下两种方法设计了这种行为的有效电路模型：1）一组具有忆阻阻尼的 LC 轮廓，2）一个基于单个忆容的自适应轮廓，具有忆阻阻尼。我们通过比较它们的结果和预测来详细考虑这两种方法。最后，讨论了可能进行的生物学实验，以区分这些模型。在本文中，我们还引入了对某些记忆电路元件的有效描述。
