Is a biological temporal learning rule compatible with learning synfire chains?

The author investigates how a biologically realistic temporal learning rule and the neuronal firing threshold jointly determine the recall speed of a synfire chain trained by sequential activation of its nodes. Numerical analysis of an idealised system of discrete spike response model neurons yields the relationship between threshold and speed of recall, in particular showing that recall is not possible at all speeds and that recall may not be possible at the speed at which the chain was trained. A continuous approximation to the discrete system is analytically more tractable but does not reflect the stability of the system accurately