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Biological Cybernetics

, Volume 89, Issue 2, pp 119–125 | Cite as

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

  • A. N. Burkitt
  • H. Meffin
  • D. B. Grayden
Article

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.

Keywords

Membrane Potential Modulative Effect Neuron Model Synaptic Input Neuronal Response 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

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.

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  1. 1.The Bionic Ear InstituteEast MelbourneAustralia

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