Data from: Visualization of currents in neural models with similar behavior and different conductance densities

Conductance-based models of neural activity produce large amounts of data
that can be hard to visualize and interpret. We introduce visualization
methods to display the dynamics of the ionic currents and to display the
models' response to perturbations. To visualize the currents'
dynamics we compute the percent contribution of each current and display
them over time using stacked-area plots. The waveform of the membrane
potential and the contribution of each current change as the models are
perturbed. To represent these changes over a range of the perturbation
control parameter, we compute and display the distributions of these
waveforms. We illustrate these procedures in six examples of bursting
model neurons with similar activity but that differ as much as 3-fold in
their conductance densities. These visualization methods provide heuristic
insight into why individual neurons or networks with similar behavior can
respond widely differently to perturbations.