Computational Neuroscience

Variability of postsynaptic responses depends non-linearly on the number of synaptic inputs

Kretzberg J, Sejnowski T, Warzecha AK, Egelhaaf

NEUROCOMPUTING 52-4: 313-320 JUN 2003

A conductance-based model for synaptic transmission and postsynaptic integration reveals how postsynaptic responses and their variability depend on the number of synaptic inputs. With increasing number of balanced stochastic excitatory and inhibitory inputs, the postsynaptic responses and their variance first increase and then decrease again. This non-linearity can be attributed to an anti-correlation between the total excitatory and inhibitory currents. The anti-correlation, which occurs even though the conductances of the individual synapses vary independently of each other, is determined by the total synaptic conductance and grows with the number of inputs. As the number of inputs increases, the membrane potential comes increasingly closer to the resting level. (C) 2003 Elsevier Science B.V. All rights reserved.

Keywords: model, graded synaptic transmission, number of inputs, synaptic conductances, correlated synaptic currents