The effect of neural noise on spike time precision in a detailed CA3 neuron model

Abstract

Experimental and computational studies emphasize the role of the millisecond precision of neuronal spike times as an important coding mechanism for transmitting and representing information in the central nervous system. We investigate the spike time precision of a multicompartmental pyramidal neuron model of the CA3 region of the hippocampus under the influence of various sources of neuronal noise. We describe differences in the contribution to noise originating from voltage-gated ion channels, synaptic vesicle release, and vesicle quantal size. We analyze the effect of interspike intervals and the voltage course preceding the firing of spikes on the spike-timing jitter. The main finding of this study is the ranking of different noise sources according to their contribution to spike time precision. The most influential is synaptic vesicle release noise, causing the spike jitter to vary from 1ms to 7ms of a mean value 2.5ms. Of second importance was the noise incurred by vesicle quantal size variation causing the spike time jitter to vary from 0.03ms to 0.6ms. Least influential was the voltage-gated channel noise generating spike jitter from 0.02ms to 0.15ms. © 2012 Eduard Kuriscak et al.