Before revision:  Here, using a generalized spiking model, we develop a mechanistic understanding of how network topology supports information processing through network dynamics . First, we show how network topology determines network dynamics by analytically and numerically demonstrating that network topology can be designed to propagate stimulus patternsfor long durations.
After revision:  Here, using a generalized spiking model, we develop a mechanistic understanding of how network topology supports information processing through network dynamics , and we validate our theory with empirical data. Using a generalized spiking model and mathematical tools from linear systems theory, network control theory, and information theory, we show how network topology determines network dynamics by analytically and numerically demonstrating that network topology can be designed to propagate stimulus patternsfor long durations.