School of Physics and ARC Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, New South Wales 2006, Australia.
Phys Rev Lett. 2018 Aug 3;121(5):058101. doi: 10.1103/PhysRevLett.121.058101.
A deep understanding of the dynamical properties of natural time-varying images is essential for interpreting how they are efficiently processed in the brain. Here we examine natural time-varying images from the perspective of their spatiotemporal patterns and find evidence of dynamical thermodynamic criticality. We further demonstrate that these spatiotemporal patterns ubiquitously organize as localized, propagating patterns. By studying these propagating patterns and their spreading dynamics over time, we demonstrate that the critical dynamics of natural time-varying images belong to the universality class of directed percolation. These critical dynamics have important implications for understanding neural processing of time-varying stimuli.
深入了解自然时变图像的动力学特性对于解释大脑如何高效处理它们至关重要。在这里，我们从时空模式的角度研究自然时变图像，并发现了动力学热力学临界性的证据。我们进一步证明，这些时空模式普遍组织为局部传播模式。通过研究这些传播模式及其随时间的扩展动力学，我们证明了自然时变图像的临界动力学属于有向渗流的普适类。这些临界动力学对于理解神经对时变刺激的处理具有重要意义。
