  The speed of firing pattern propagation in a synfire chain, composed of
non-leaky integrate-and-fire neurons, and assuming homogenous connection
delays, is studied. An explicit relation, relating the propagation speed to the
connecting weights distribution and other network parameters, is derived. The
analytic results are then checked with a computer simulation. When the network
is fed with a fully synchronized input pattern, the pattern propagation speed
is independent of the weight parameters. When the fed input is asynchronous,
depending on the weight parameters, the propagation speed is more than or less
than the synchronous case. In this case the propagation speed increases by
increasing the mean or standard deviation of connecting weights. The biological
relevance of these findings and their relevance to the notion of synfire chains
are discussed.
