Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
Neural Computation
A sparse generative model of v1 simple cells with intrinsic plasticity
Neural Computation
Tuning low-voltage-activated a-current for silent gain modulation
Neural Computation
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Stability of intrinsic electrical activity and modulation of input-output gain are both important for neuronal information processing. It is therefore of interest to define biologically plausible parameters that allow these two features to coexist. Recent experiments indicate that in some biological neurons, the stability of spontaneous firing can arise from coregulated expression of the electrophysiologically opposing IA and IH currents. Here, I show that such balanced changes in IA and IH dramatically alter the slope of the relationship between the firing rate and driving current in a Hodgkin-Huxley-type model neuron. Concerted changes in IA and IH can thus control neuronal gain while preserving intrinsic activity.