Alon Korngreen

This paper reintroduces parameter variability into the Hodgkin-Huxley model using bootstrap resampling and Monte Carlo simulations to show that neuronal firing behavior emerges from structured parameter space interactions rather than single best-fit models.

This study analyzes how model topology and stimulation protocols affect parameter accessibility in voltage-gated ion channel models using Sobol sensitivity analysis.

The paper models the temperature dependence of voltage-gated sodium channel kinetics using experimental data from rat neurons, showing differences in activation and inactivation temperature sensitivity and providing a temperature-spanning model for action potential generation.

NeuroGPU accelerates biophysically detailed neuronal simulations on GPUs, enabling faster parameter exploration and model fitting.

This study shows that endocannabinoids and dopamine interact to modulate long-term plasticity in the entopeduncular nucleus, influencing the balance of direct and indirect output dominance.

The paper investigates how short-term depression in GABAergic synapses of the basal ganglia affects information transmission based on varying firing rates of globus pallidus neurons.

The paper investigates voltage-gated sodium channels in rat neocortical pyramidal neurons and finds they exhibit Cole-Moore activation kinetics rather than traditional Hodgkin-Huxley kinetics.