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 para...

Full description

Saved in:
Bibliographic Details
Published in:Biological cybernetics 2003-08, Vol.89 (2), p.119-125
Main Authors: Burkitt, A N, Meffin, H, Grayden, D B
Format: Article
Language:English
Subjects:
Computer Simulation
Electric Capacitance
Electric Stimulation
Humans
Membrane Potentials - physiology
Models, Neurological
Neural Conduction - physiology
Neural Inhibition
Neurons
Neurons - physiology
Nonlinear Dynamics
Postural Balance - physiology
Stochastic Processes
Synapses - physiology
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0340-1200
1432-0770
DOI:10.1007/s00422-003-0408-8