Modeling and simulation of ion channels
C Maffeo, S Bhattacharya, J Yoo, D Wells… - Chemical …, 2012 - ACS Publications
Transport of ions through pores in membranes is a process of fundamental importance to
cell biology. In living organisms, such transport is facilitated by ion channels that utilize the …
cell biology. In living organisms, such transport is facilitated by ion channels that utilize the …
Projective synchronization of two coupled Lorenz chaotic systems in predefined time
L Lin - International Journal of Dynamics and Control, 2022 - Springer
This paper is concerned with the globally projective synchronization in predefined time for
two coupled Lorenz chaotic systems. Firstly, a new globally predefined time stability theorem …
two coupled Lorenz chaotic systems. Firstly, a new globally predefined time stability theorem …
Electric Field-induced dynamical evolution of spiral wave in the regular networks of Hodgkin–Huxley neurons
CN Wang, J Ma, WY Jin, Y Wu - Applied mathematics and computation, 2011 - Elsevier
An additional gradient force is often used to simulate the polarization effect induced by the
external field in the reaction–diffusion systems. The polarization effect of weak electric field …
external field in the reaction–diffusion systems. The polarization effect of weak electric field …
[HTML][HTML] A simple game and its dynamical richness for modeling synchronization in firefly-like oscillators
GM Ramírez-Ávila, S Depickère… - The European Physical …, 2022 - Springer
Synchronization in pulse-coupled oscillators has been broadly studied under different
perspectives. We present a game with simple rules to describe synchronization in such …
perspectives. We present a game with simple rules to describe synchronization in such …
Nonlinear optimal control for the synchronization of biological neurons under time-delays
The article proposes a nonlinear optimal control method for synchronization of neurons that
exhibit nonlinear dynamics and are subject to time-delays. The model of the Hindmarsh …
exhibit nonlinear dynamics and are subject to time-delays. The model of the Hindmarsh …
Estimating and adjusting abnormal networks with unknown parameters and topology
The changes of parameters and topology in a complex network often lead to unexpected
accidents in complex systems, such as diseases in neural systems and unexpected current …
accidents in complex systems, such as diseases in neural systems and unexpected current …
Parameter estimation in Hodgkin-Huxley model with adaptive method
Neuron models are highly nonlinear and involve many electrophysiological variables and
parameters, only some of the variables are easily measured experimentally, while other …
parameters, only some of the variables are easily measured experimentally, while other …