Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input
Neurons receive a continual stream of excitatory and inhibitory synaptic inputs. A conductance-based neuron model is used to investigate how the balanced component of this input modulates the amplitude of neuronal responses. The output spiking rate is well described by a formula involving three parameters: the mean μ and variance σ of the membrane potential and the effective membrane time constant τQ. This expression shows that, for sufficiently small τQ, the level of balanced excitatory-inhibitory input has a nonlinear modulatory effect on the neuronal gain.
KeywordsMembrane Potential Modulative Effect Neuron Model Synaptic Input Neuronal Response
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This work was funded by the Australian Research Council (ARC Discovery Project #DP0211972) and the Bionic Ear Institute. We thank an anonymous reviewer for useful comments on the manuscript.