论文标题
胶体中的帕夫洛夫反射
Pavlovian reflex in colloids
论文作者
论文摘要
Pavlovian反射是神经生物的神经系统的重要机制，可以使他们学习。液体胶体计算设备具有高度容忍度，可重构性和可塑性。作为设计和原型化胶体神经形态计算系统的第一步，我们决定评估是否可以实施帕夫洛夫反射。我们将突触重量的增加与电阻降低。在实验室实验中，我们证明只有两卷胶体液体可以实施帕夫洛维亚学习。
Pavlovian reflex is an essential mechanism of nervous systems of living beings which allows them to learn. Liquid colloid computing devices offer a high degree of fault-tolerance, reconfigurability and plasticity. As a first step towards designing and prototyping colloidal neuromorphic computing systems we decided to evaluate if it is possible to implement Pavlovian reflexes. We equate an increase of a synaptic weight with decreased resistance. In laboratory experiments we demonstrated that it is possible to implement Pavlovian learning using just two volumes of colloid liquid.
