Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Campbell, Sue"'
Autor:
Chen, Liang, Campbell, Sue Ann
We consider a large network of Izhikevich neurons. Each neuron has a quadratic integrate-and-fire type model with a recovery variable modelling spike frequency adaptation (SFA). We introduce a biologically motivated synaptic current expression and a
Externí odkaz:
http://arxiv.org/abs/2310.04596
Autor:
Chen, Liang, Campbell, Sue Ann
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mo
Externí odkaz:
http://arxiv.org/abs/2203.08341
Autor:
Al-Darabsah, Isam, Hsueh, Kuei-Fang, Khalil, Abdelrahman, Al Janaideh, Mohammad, Campbell, Sue Ann, Kundur, Deepa
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena July 2024 184
Autor:
Chen, Liang, Campbell, Sue Ann
Hysteresis dynamics has been described in a vast number of biological experimental studies. Many such studies are phenomenological and a mathematical appreciation has not attracted enough attention. In the paper, we explore the nature of hysteresis a
Externí odkaz:
http://arxiv.org/abs/2009.14046
Autor:
Al-Darabsah, Isam, Campbell, Sue Ann
In this work, we consider a general conductance-based neuron model with the inclusion of the acetycholine sensitive, M-current. We study bifurcations in the parameter space consisting of the applied current, $I_{app}$ the maximal conductance of the M
Externí odkaz:
http://arxiv.org/abs/2008.01845
Autor:
Nicola, Wilten, Campbell, Sue Ann
The synchronization of different brain regions is widely observed under both normal and pathological conditions such as epilepsy. However, the relationship between the dynamics of these brain regions, the connectivity between them, and the ability to
Externí odkaz:
http://arxiv.org/abs/2007.00079
Autor:
Al-Darabsah, Isam, Campbell, Sue Ann
We consider two identical oscillators with weak, time delayed coupling. We start with a general system of delay differential equations then reduce it to a phase model. With the assumption of large time delay, the resulting phase model has an explicit
Externí odkaz:
http://arxiv.org/abs/1910.03435
Low-dimensional yet rich dynamics often emerge in the brain. Examples include oscillations and chaotic dynamics during sleep, epilepsy, and voluntary movement. However, a general mechanism for the emergence of low dimensional dynamics remains elusive
Externí odkaz:
http://arxiv.org/abs/1801.09997
Autor:
Ryu, Hwayeon, Campbell, Sue Ann
We study synaptically coupled neuronal networks to identify the role of coupling delays in network's synchronized behaviors. We consider a network of excitable, relaxation oscillator neurons where two distinct populations, one excitatory and one inhi
Externí odkaz:
http://arxiv.org/abs/1712.08547