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Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input

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Abstract.

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.

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Acknowledgments.

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.

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Authors and Affiliations

  1. The Bionic Ear Institute, 384–388 Albert Street, East Melbourne, Vic 3002, Australia

    A. N. Burkitt, H. Meffin & D. B. Grayden

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  1. A. N. Burkitt
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  2. H. Meffin
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  3. D. B. Grayden
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Correspondence to A. N. Burkitt.

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Burkitt, A., Meffin, H. & Grayden, D. Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. Biol. Cybern. 89, 119–125 (2003). https://doi.org/10.1007/s00422-003-0408-8

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  • DOI: https://doi.org/10.1007/s00422-003-0408-8

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