Inhibitory neural networks have the capacity to fire synchronously depending strongly on synaptic current dynamics. Various types of inhibitory interneurons, including some with adaptation currents, are present in hippocampal circuits and are implicated in governing overall network pattern formation. However, the contribution of intrinsic cell firing patterns of interneurons to these patterns has not been fully investigated. Understanding how both synaptic and cellular properties contribute to the propensity for inhibitory neural networks to synchronize is thus an invaluable tool for investigating hippocampal network pattern formation. Through numerical simulation of large, spiking neuron, inhibitory networks, we investigate the role of the slow, adapting M-type K+ current in network pattern formation.