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 mu and variance sigma of the membrane potential and the effective membrane time constant tauQ. This expression shows that, for sufficiently small tauQ, the level of balanced excitatory-inhibitory input has a nonlinear modulatory effect on the neuronal gain.
Burkitt
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AN
The Bionic Ear Institute, 384-388 Albert Street, East Melbourne, Vic 3002, Australia. a.burkitt@medoto.unimelb.edu.au
Meffin
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H
Grayden
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DB
D003198:Computer Simulation; D025802:Electric Capacitance; D004558:Electric Stimulation; D006801:Humans; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D009431:Neural Conduction / Q000502:physiology*; D009433:Neural Inhibition; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D004856:Postural Balance / Q000502:physiology*; D013269:Stochastic Processes; D013569:Synapses / Q000502:physiology*