We introduce a new information-theoretic measure, fragmentation (F) which can be used to determine how fragmented predictive information is in a system. The concept can be extended to generate fragmentation matrices that can illustrate information flows through digital brains, in the form of directed graphs. Fragmentation and fragmentation matrices can provide new insights into digital brains structure and function, in other words, how causal digital networks "think" and process information. In addition to describing F we demonstrate how it can be used to examine how complex processing arises in neural networks, including differences in lifetime processing and incidents of incidental encryption.

翻译：我们引入了一种新的信息理论计量法,即零散(F),可用于确定系统中的零散预测信息是如何存在的。这个概念可以扩展到产生零散矩阵,以定向图表的形式说明通过数字大脑的信息流动。碎裂和碎裂矩阵可以对数字大脑结构和功能提供新的洞察力,换句话说,如何通过因果数字网络“思考”和处理信息。除了描述F外,我们还可以展示如何利用它来审查神经网络中如何出现复杂的处理,包括寿命处理和附带加密事件的差异。