Optimal information representation and criticality in an adaptive sensory recurrent neuronal network
Recurrent connections play an important role in cortical function, yet their exact contribution
to the network computation remains unknown. The principles guiding the long-term …
to the network computation remains unknown. The principles guiding the long-term …
Aperiodic stochastic resonance in neural information processing with Gaussian colored noise
Y Kang, R Liu, X Mao - Cognitive Neurodynamics, 2021 - Springer
The aim of this paper is to explore the phenomenon of aperiodic stochastic resonance in
neural systems with colored noise. For nonlinear dynamical systems driven by Gaussian …
neural systems with colored noise. For nonlinear dynamical systems driven by Gaussian …
Effect of external noise on the hysteresis characteristics of a thermoacoustic system
We present the effect of noise on the hysteresis characteristics of a prototypical
thermoacoustic system, a horizontal Rijke tube. As we increase the noise intensity, we find …
thermoacoustic system, a horizontal Rijke tube. As we increase the noise intensity, we find …
Brain Performance versus Phase Transitions
We here illustrate how a well-founded study of the brain may originate in assuming
analogies with phase-transition phenomena. Analyzing to what extent a weak signal …
analogies with phase-transition phenomena. Analyzing to what extent a weak signal …
The distinct stochastic and deterministic dynamics between period-adding and period-doubling bifurcations of neural bursting patterns
Y Li, H Gu - Nonlinear Dynamics, 2017 - Springer
Period-adding bifurcations and period-doubling bifurcations of neural firing patterns, which
were both observed in the biological experiment on a neural pacemaker and simulated in a …
were both observed in the biological experiment on a neural pacemaker and simulated in a …
Dynamics of localized waves in one-dimensional random potentials: Statistical theory of the coherent forward scattering peak
As recently discovered [T. Karpiuk, Phys. Rev. Lett. 109, 190601 (2012) PRLTAO 0031-9007
10.1103/PhysRevLett. 109.190601], Anderson localization in a bulk disordered system …
10.1103/PhysRevLett. 109.190601], Anderson localization in a bulk disordered system …
Link between externally excited nonlinear system and parametrically excited Duffing oscillator via bursting oscillations and phase transitions
Z Rakaric - Meccanica, 2022 - Springer
New types of bursting oscillations in the Duffing oscillator with a slow parametric excitation
are introduced. By treating low-frequency parametric excitation as a bifurcation parameter in …
are introduced. By treating low-frequency parametric excitation as a bifurcation parameter in …
Fractional Brownian motions
A Fuliński - Acta Physica Polonica. B, 2020 - ruj.uj.edu.pl
The prehistory of description of phenomena known today as the Brownian motions (Bms)
ranges back 2000 years ago, to Lucretius (ca. 99–55 BC)[1], who used his observations of …
ranges back 2000 years ago, to Lucretius (ca. 99–55 BC)[1], who used his observations of …
Phase coherence induced by additive Gaussian and non-Gaussian noise in excitable networks with application to burst suppression-like brain signals
It is well-known that additive noise affects the stability of non-linear systems. Using a network
composed of two interacting populations, detailed stochastic and non-linear analysis …
composed of two interacting populations, detailed stochastic and non-linear analysis …
Approximate-master-equation approach for the Kinouchi-Copelli neural model on networks
CY Wang, ZX Wu, MZQ Chen - Physical Review E, 2017 - APS
In this work, we use the approximate-master-equation approach to study the dynamics of the
Kinouchi-Copelli neural model on various networks. By categorizing each neuron in terms of …
Kinouchi-Copelli neural model on various networks. By categorizing each neuron in terms of …