potassium-current-gain-control

The A-type potassium current IA modulates neuronal gain by switching between subtractive and divisive inhibition based on gating parameters and membrane dynamics. This mechanism alters how synaptic inputs affect firing output in neural circuits.

Simulate divisive and subtractive inhibition by running the example_gain_control() function with IA gating parameters and synaptic inputs. This generates simulations and gating curves that visualize the inhibition switching behavior.

Generate f-I curves and gating dynamics by applying varying IA and synaptic inputs to the neuronal model. The simulation produces f-I plots and gating curves illustrating gain control phenomena for hypothesis testing and teaching demonstrations.

Yes, you can use this IA current model for educational demonstrations of synaptic dynamics and gain control. It produces simulations, gating curves, and f-I plots to visually illustrate how A-type potassium current affects neuronal firing output.

Subtractive inhibition lowers firing rates by a constant amount, while divisive inhibition scales the firing response slope. The A-type potassium current IA switches between these modes depending on gating parameters to modulate neuronal gain.

No external dependencies are required to simulate IA-driven gain control. The skill internally handles IA gating parameters, membrane dynamics, and synaptic inputs to produce gain-control simulations, gating curves, and f-I plots.