论文标题
马尔可夫毯子
Markov Blankets in the Brain
论文作者
论文摘要
自组织系统的最新特征取决于马尔可夫毛毯的存在：介导系统内部和外部之间相互作用的统计边界。我们利用这一想法对神经元系统中的分区进行分析。这适用于多个尺度上的大脑体系结构，将分区分为单个神经元，大脑区域和脑网络。该处理是基于用于有效连通性的经验研究的规范微路，以直接与实际应用说话。这取决于功能单元之间的动态耦合，该功能单元的形式概括了每个级别的Markov毯子的形式。通过这种方式对神经系统进行分区所提供的细微差别突出了仅考虑单个描述的大脑功能观点的某些局限性。
Recent characterisations of self-organising systems depend upon the presence of a Markov blanket: a statistical boundary that mediates the interactions between what is inside of and outside of a system. We leverage this idea to provide an analysis of partitions in neuronal systems. This is applicable to brain architectures at multiple scales, enabling partitions into single neurons, brain regions, and brain-wide networks. This treatment is based upon the canonical micro-circuitry used in empirical studies of effective connectivity, so as to speak directly to practical applications. This depends upon the dynamic coupling between functional units, whose form recapitulates that of a Markov blanket at each level. The nuance afforded by partitioning neural systems in this way highlights certain limitations of modular perspectives of brain function that only consider a single level of description.
