Neurophysiological and computational principles of cortical rhythms in cognition
XJ Wang - Physiological reviews, 2010 - journals.physiology.org
Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …
Time-series analysis of pressure fluctuations in gas–solid fluidized beds–A review
This work reviews methods for time-series analysis for characterization of the dynamics of
gas–solid fluidized beds from in-bed pressure measurements for different fluidization …
gas–solid fluidized beds from in-bed pressure measurements for different fluidization …
[BOOK][B] Nonlinear time series analysis
H Kantz, T Schreiber - 2003 - books.google.com
The paradigm of deterministic chaos has influenced thinking in many fields of science.
Chaotic systems show rich and surprising mathematical structures. In the applied sciences …
Chaotic systems show rich and surprising mathematical structures. In the applied sciences …
Chaos, scattering and statistical mechanics
P Gaspard - Chaos, 2005 - ui.adsabs.harvard.edu
Dynamical systems and their linear stability; 2. Topological chaos; 3. Liouvillian dynamics; 4.
Probabalistic chaos; 5. Chaotic scattering; 6. Scattering theory of transport; 7. Hydrodynamic …
Probabalistic chaos; 5. Chaotic scattering; 6. Scattering theory of transport; 7. Hydrodynamic …
[BOOK][B] An introduction to chaos in nonequilibrium statistical mechanics
JR Dorfman - 1999 - books.google.com
This book is an introduction to the applications in nonequilibrium statistical mechanics of
chaotic dynamics, and also to the use of techniques in statistical mechanics important for an …
chaotic dynamics, and also to the use of techniques in statistical mechanics important for an …
[BOOK][B] Chaos: from simple models to complex systems
A Vulpiani - 2010 - books.google.com
Chaos: from simple models to complex systems aims to guide science and engineering
students through chaos and nonlinear dynamics from classical examples to the most recent …
students through chaos and nonlinear dynamics from classical examples to the most recent …
Regularities unseen, randomness observed: Levels of entropy convergence
We study how the Shannon entropy of sequences produced by an information source
converges to the source's entropy rate. We synthesize several phenomenological …
converges to the source's entropy rate. We synthesize several phenomenological …
Predictability in the large: an extension of the concept of Lyapunov exponent
We investigate the predictability problem in dynamical systems with many degrees of
freedom and a wide spectrum of temporal scales. In particular, we study the case of three …
freedom and a wide spectrum of temporal scales. In particular, we study the case of three …
First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
We investigate the dynamics of kinetically constrained models of glass formers by analysing
the statistics of trajectories of the dynamics, or histories, using large deviation function …
the statistics of trajectories of the dynamics, or histories, using large deviation function …
Predictability: a way to characterize complexity
Different aspects of the predictability problem in dynamical systems are reviewed. The deep
relation among Lyapunov exponents, Kolmogorov–Sinai entropy, Shannon entropy and …
relation among Lyapunov exponents, Kolmogorov–Sinai entropy, Shannon entropy and …