标题： 互惠情感-认知动力学 显示英文标题

标题： Mutual Emotion-Cognition Dynamics

摘要： 我们基于实验中观察到的稳定瞬态活动神经网络，提出了一种研究大脑心理动力学的新范式。 这种新方法与通常用于认知建模的传统系统分析形成对比。 瞬态动力学为观察到的大脑活动特性提供了一个坚实的公式，同时提供了一套严格的分析工具。 瞬态具有两个主要特征：首先，它们对噪声具有抵抗力，在初始条件的小变化面前依然可靠；因此，系统访问的状态序列（其轨迹）是结构稳定的。 其次，瞬态是输入特定的，因此传达了导致它们最初原因的信息。 这种新的动力学观点提供了对感知、认知、情绪和其他心理过程如何作为大脑中的活动模式序列演变的严格解释，而且最重要的是，如何相互干扰。 这里讨论和展示的想法导致了人类心理活动的定量理论的创建，并可以应用于人工代理。 显示英文摘要

摘要： We present a new paradigm in the study of brain mental dynamics on the basis of the stable transient activity neural networks observed in experiments. This new approach is in contrast to traditional system analysis usually adopted in cognitive modeling. Transient dynamics offers a sound formalism of the observed qualities of brain activity, while providing a rigorous set of analysis tools. Transients have two main features: First, they are resistant to noise, and reliable even in the face of small variations in initial conditions; the sequence of states visited by the system (its trajectory), is thus structurally stable. Second, the transients are input-specific, and thus convey information about what caused them in the first place. This new dynamical view manifests a rigorous explanation of how perception, cognition, emotion, and other mental processes evolve as a sequence of activity patterns in the brain, and, most importantly, how they interfere with each other. The ideas discussed and demonstrated here lead to the creation of a quantitative theory of the human mental activity and can be deployed on artificial agents.