no code implementations • 14 Aug 2023 • Youngmin Park, Dan Wilson
Second, we use $N=3$ realistic conductance-based thalamic neuron models and show that our method correctly predicts a loss in stability of a splay state for non-weak synaptic coupling.
1 code implementation • 6 Sep 2022 • Youngmin Park, Cécile Leduc, Sandrine Etienne-Manneville, Stéphanie Portet
This modeling approach allows us to conclude that our experimental data are best explained by a spatially dependent trapping of intermediate filaments or a spatially dependent speed of actin-dependent transport.
1 code implementation • 15 Jul 2021 • Youngmin Park, Prashant Singh, Thomas G. Fai
We consider the stochastic analog of the vesicle transport model in [Park and Fai, The Dynamics of Vesicles Driven Into Closed Constrictions by Molecular Motors.
1 code implementation • 2 Oct 2020 • Youngmin Park, Dan Wilson
First, we use diffusively coupled complex Ginzburg-Landau (CGL) model and demonstrate that our theory accurately predicts bifurcations far beyond the range of existing coupling theory.
Adaptation and Self-Organizing Systems Dynamical Systems
1 code implementation • 10 Apr 2020 • Youngmin Park, Thomas G. Fai
The model's key parameters are the ratio of motors that prefer to push toward the head of the dendritic spine to the ratio of motors that prefer to push in the opposite direction.
Cell Behavior Subcellular Processes
1 code implementation • 18 Jan 2018 • Youngmin Park, G. Bard Ermentrout
We also show existence and stability of constant velocity solutions on both domains using Evans functions.
Neurons and Cognition Pattern Formation and Solitons
1 code implementation • 18 Jul 2017 • Youngmin Park, Stewart Heitmann, G. Bard Ermentrout
The phase response curves and the form of coupling between reciprocally coupled oscillators defines the phase interaction function, which in turn predicts the synchronization outcome (in-phase versus anti-phase) and the rate of convergence.
1 code implementation • 8 Mar 2016 • Youngmin Park, Bard Ermentrout
We extend the theory of weakly coupled oscillators to incorporate slowly varying inputs and parameters.
Dynamical Systems Neurons and Cognition