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Publisher's Note: Mischaracterization of model used in Ref 20.

Posted by rjrosenbaum on 20 Aug 2012 at 21:36 GMT

A few studies have investigated the reduction of Shannon information through synapses with synaptic failure [20], [46], [48] but focus on the impact of probabilistic release and ignore stochasticity in vesicle recovery dynamics. In contrast, we studied the reduction of linear information induced by both probabilistic release and stochastic recovery. The qualitative differences we observed between stochastic and deterministic models depend on the stochasticity of vesicle recovery since it introduces low frequency variability into the conductance (Fig. 3C,D). To our knowledge, only one study [19] has investigated information transmission in a model with both probabilistic release and stochastic recovery.

Here, we have mistakenly stated that Ref. 20 (M Goldman, Neural Comp, 2004) used a model of short term depression that does not account for stochastic recovery times. The model used in Ref. 20 "does" represent recovery times stochastically and is identical to our model except that it assumes only one functional release site (M=1). The author finds that short term depression increases the amount of Shannon information transmitted per vesicle when presynaptic spike trains are non-Poisson with positive auto-covariance functions.

No competing interests declared.