Objectives: Additional properties of the stochastic neural circuit model suggested in [1] were studied.
Methods: The performance of the whole circuit when the system employs a different jitter was studied by extensive simulations. By performance we mean the time needed to obtain a reliable estimate of ITD.
Results: It was found that the relation between jitter and performance is nonlinear and we estimated a plausible range of jitter values for the model.
Conclusion: To conclude, there exists an upper bound of the timing jitter since the number of neurons needed to compensate the injected noise grows exponentially and above certain jitter values becomes unrealistically high.