Information flow in heterogeneously interacting systems

Abstract

Motivated by studies on the dynamics of heterogeneously interacting systems in neocortical neural networks, we studied heterogeneously-coupled chaotic systems. We used information-theoretic measures to investigate directions of information flow in heterogeneously coupled Rössler systems, which we selected as a typical chaotic system. In bidirectionally coupled systems, spontaneous and irregular switchings of the phase difference between two chaotic oscillators were observed. The direction of information transmission spontaneously switched in an intermittent manner, depending on the phase difference between the two systems. When two further oscillatory inputs are added to the coupled systems, this system dynamically selects one of the two inputs by synchronizing, selection depending on the internal phase differences between the two systems. These results indicate that the effective direction of information transmission dynamically changes, induced by a switching of phase differences between the two systems.

Scale-freeness of dominant and piecemeal perceptions during binocular rivalry

“…Scale-freeness in brain connectivity has been proved by different studies based on EEG and fMRI signals. The results have shown that brain dynamics produced by scalefree synchronous cell assemblies (Stam and de Bruin 2004;Stam 2005;He et al 2010;Minati et al 2013;Freeman and Breakspear 2007) which means that brain could be considered as a complex self-organizing system (Ozaki et al 2012;Feldman 2013;Yamaguti et al 2014). In a previous study, Gao et al indicated that BR fluctuations are also scale-free and can be considered as a 1/f process (Gao et al 2006).…”