• Volume/Page
  • Keyword
  • DOI
  • Citation
  • Advanced
   
 
 
 

You Tube Flickr Twitter UniPHY Group iResearch App Facebook

Research Highlights

RSS
CHA 023110

Annual variability in a conceptual climate model: Snapshot attractors, hysteresis in extreme events, and climate sensitivity

Tamás Bódai and Tamás Tél

Within Lorenz’s model of global atmospheric circulation (L84), the climate is sensitive if under slightly different conditions, the climate snapshot attractor takes substantially different shapes. This paper focuses on extreme event return time statistics, climate sensitivity, and overall variability in view of snapshot attractors.

Chaos 22 , 023110 (2012)

CHA 013132

Chimeras in random non-complete networks of phase oscillators

Carlo R. Laing, Karthikeyan Rajendran, and Ioannis G. Kevrekidis

Chimera states are known to occur in networks of identical phase oscillators and are characterised by some fraction of the oscillators being synchronised, while the remainder are asynchronous. Here, we systematically investigate these systems for what is arguably the simplest network that shows chimera states, considering two different systematic ways of perturbing an all-to-all connected network.

Chaos 22 , 013132 (2012)

chaos22-013101

The impact of awareness on epidemic spreading in networks

Qingchu Wu, Xinchu Fu, Michael Small, and Xin-Jian Xu

The authors explore the impact of awareness on epidemic spreading through a population represented by a scale-free network. Using a network mean-field approach, a mathematical model for epidemic spreading with awareness reactions is proposed and analyzed. Theoretical analysis and simulation shows that global awareness cannot decrease the likelihood of an epidemic outbreak while both local awareness and contact awareness can.

Chaos 22, 013101 (2012)

chaos22-013104

Propagation of spiking regularity and double coherence resonance in feedforward networks

Cong Men, Jiang Wang, Ying-Mei Qin, Bin Deng, Kai-Ming Tsang, and Wai-Lok Chan

Multi-layer feedforward networks (FFNs) are related to functional groups of neurons where information is transmitted from one group to the next. Since much information in neural systems is carried by interspike intervals time series, the propagation of spike regularity in the brain is an essential problem. This paper investigates the effects of noise on the propagation of spike regularity in FFN.

Chaos 22, 013104 (2012)

Announcements

Gallery of Nonlinear Images
See the winning entries in the Gallery of Nonlinear Images, presented in the December issue of Chaos
Read more | View Gallery of Nonlinear Images

Focus Issue on Nonlinear and Stochastic Physics in Biology in the December 2011 Issue of Chaos
Read more | View Focus Issue

Google Calendar
ADVERTISEMENT

close