Add to ORKGWe quantitatively analyze the multistability of dynamic patterns of a busting neural system with diffusive coupling. Through effective coupling analysis, we show that the system is not in-phase locking but exhibits various phase locking patterns, each of which corresponds to the stable fixed points of the effective coupling. The simulation proves the validity of the effective coupling method in analyzing the multistability of neural systems which presents complicated dynamic patterns such as bursting
The methodologies introduced and applied in this work have fundamental roles in connecting the compo...
We present a simplified phase model for neuronal dynamics with spike timing-dependent plasticity (ST...
What input signals will lead to synchrony vs. desynchrony in a group of biological oscil-lators? Thi...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by excitable s...
A multifunctional central pattern generator (CPG) can produce bursting polyrhythms that determine lo...
Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending...
BACKGROUND: Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
[résumé trop long]The important relationship between structure and function has always been a fundam...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
Neurons in the brain are known to exhibit diverse bursting patterns. In this work, which combines th...
Coherent oscillatory activity in large networks of biological or artifi-cial neural units may be a u...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
In vertebrates, locomotion arise from an alternate rhythmic activity of different neural populations...
The methodologies introduced and applied in this work have fundamental roles in connecting the compo...
We present a simplified phase model for neuronal dynamics with spike timing-dependent plasticity (ST...
What input signals will lead to synchrony vs. desynchrony in a group of biological oscil-lators? Thi...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by excitable s...
A multifunctional central pattern generator (CPG) can produce bursting polyrhythms that determine lo...
Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending...
BACKGROUND: Multistability of oscillatory and silent regimes is a ubiquitous phenomenon exhibited by...
Networks of neurons, which form central pattern generators (CPGs), are important for controlling ani...
[résumé trop long]The important relationship between structure and function has always been a fundam...
We study a model for a network of synaptically coupled, excitable neurons to identify the role of co...
Neurons in the brain are known to exhibit diverse bursting patterns. In this work, which combines th...
Coherent oscillatory activity in large networks of biological or artifi-cial neural units may be a u...
The rich dynamics of a system comprising of a Type-I neuron coupled to a Type-II neuron via an elect...
In vertebrates, locomotion arise from an alternate rhythmic activity of different neural populations...
The methodologies introduced and applied in this work have fundamental roles in connecting the compo...
We present a simplified phase model for neuronal dynamics with spike timing-dependent plasticity (ST...
What input signals will lead to synchrony vs. desynchrony in a group of biological oscil-lators? Thi...