Gain Modulation and Balanced Synaptic Input in a Conductance-Based Neural Model

Abstract Gain modulation of neural responses by the balanced component of the synaptic input is analyzed in the Gaussian approximation using a single compartment conductance-based neural model. The model is analyzed in the “normal operating regime,” in which the output spiking rate of the neuron is equal to the spontaneous spiking rate in the absence of any stimulus. The gain in response to both additional excitatory synaptic input and injected current is found to be modulated in a non-linear way by the level of balanced synaptic input.

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