Rhythmic synchronization of activated neural groups in the gamma-frequency range (30-100 Hz) is observed in many brain regions. Interneuron networks are key to the generation of these rhythms. Motivated by the inhibitory effect of interneurons and summarizing experimental findings, it was recently proposed that the corresponding gamma cycle realizes a rapidly repeating winner-take-all algorithm. Here, this interpretation is considered from the modeling perspective, starting from an oscillatory network model with several stored patterns. A gradient formulation is used to include inhibitory pulses. The resulting dynamics is discussed, identifying temporal coding assemblies with coherent patterns. Thereby, the winnertake-all hypothesis is combined with binding-by-synchrony and confirmed.