标题： 雪崩和网络模型中意识与无意识心理功能的广义记忆关联性 显示英文标题

标题： Avalanches and Generalized Memory Associativity in a Network Model for Conscious and Unconscious Mental Functioning

摘要： 我们探讨与复杂网络模型动力学相关的雪崩的统计特性，其中两个模块分别对应感觉记忆和符号记忆，代表无意识和有意识的心理过程。 该模型体现了弗洛伊德关于神经症的观点，以及意识与大脑中符号和语言记忆活动的关系。 它引入了Stariolo-Tsallis对玻尔兹曼机的广义形式，以模拟记忆检索和关联性。 在本研究中，我们定义并测量记忆检索期间的雪崩大小分布，以深入了解这些复杂网络运行的基本方面。 为我们的模型定义的雪崩大小应与检索记忆所消耗的时间以及激活的神经区域的大小相关。 这使得可以定性比较在fMRI测量中获得的簇大小分布行为与我们在模拟实验中获得的雪崩大小分布。 这种比较证实了非扩展统计力学形式主义可能确实更适合建模构成大脑和心理结构的复杂网络。 显示英文摘要

摘要： We explore statistical characteristics of avalanches associated with the dynamics of a complex-network model, where two modules corresponding to sensorial and symbolic memories interact, representing unconscious and conscious mental processes. The model illustrates Freud's ideas regarding the neuroses and that consciousness is related with symbolic and linguistic memory activity in the brain. It incorporates the Stariolo-Tsallis generalization of the Boltzmann Machine in order to model memory retrieval and associativity. In the present work, we define and measure avalanche size distributions during memory retrieval, in order to gain insight regarding basic aspects of the functioning of these complex networks. The avalanche sizes defined for our model should be related to the time consumed and also to the size of the neuronal region which is activated, during memory retrieval. This allows the qualitative comparison of the behaviour of the distribution of cluster sizes, obtained during fMRI measurements of the propagation of signals in the brain, with the distribution of avalanche sizes obtained in our simulation experiments. This comparison corroborates the indication that the Nonextensive Statistical Mechanics formalism may indeed be more well suited to model the complex networks which constitute brain and mental structure.