A: The numbered mesh provides a coarse overview of the dynamics of the system, whereas we run our simulations using the much finer mesh. B: Different trajectories in the Fitzhugh-Nagumo model (as shown by solid and dashed lines) can merge before reaching the limit cycle. C: The region of the Fitzhugh-Nagumo model tiled with stationary cells; limit cycle is shown for reference. D: Sample trajectories in the Fitzhugh-Nagumo model in the parameter regime where the system tends to a fixed point. E: Trajectories that begin close to each other have the potential to diverge rapidly. F: Attempting to build cells from these trajectories can lead to “stretched” cells that intersect other cells.</p
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The importance of a mesoscopic description level of the brain has now been well established. Rate ba...
A-B: Comparison of the default mesh for conductance based neurons to a reduced mesh. Although coarse...
The importance of a mesoscopic description level of the brain has now been well established. Rate ba...
The development of neural tissue is a complex organizing process, in which it is difficult to grasp ...
Simulation models in many scientific fields can have non-unique solutions or unique solutions which ...
The field of computational neuroscience has received a substantial boost during the last two decades...
A: As a result of the integration procedure simple quadrilaterals (left, middle) should emerge, whic...
A: Vector field for a conductance based model, along with a few integral curves. At very low conduct...
A-D: Evolution of the density at t = 5, 10, 50 s an steady state for a diffusive input (J = ±0.02, ν...
A: Characteristics for leaky- (left) and quadratic-integrate-and-fire (right) neurons. B: The result...
A: Gain curve for quadratic-integrate-and-fire neurons. Population density techniques handle deviati...
A: Overview of state space for the adaptive-exponential-integrate-and-fire neuron. B: a detail of a ...
A: The steady state density as a function of membrane potential. B: The firing rate as a function of...
A: The evolution of the joint probability density function at four different points in time (1, 5, 1...
A. Activity profile of one simulated neuron during its activation period is scaled for the five simu...
The importance of a mesoscopic description level of the brain has now been well established. Rate ba...
A-B: Comparison of the default mesh for conductance based neurons to a reduced mesh. Although coarse...
The importance of a mesoscopic description level of the brain has now been well established. Rate ba...
The development of neural tissue is a complex organizing process, in which it is difficult to grasp ...
Simulation models in many scientific fields can have non-unique solutions or unique solutions which ...
The field of computational neuroscience has received a substantial boost during the last two decades...