One of the main goals in neuroscience is to understand how the brain processes sensory information in order to drive proper behaviors. In this way, sensory systems constitute the first step for this complex computation. They integrate information about the external world and provide an appropriate signal that eventually leads to a behavioral response. The olfactory system, in particular the olfactory bulb (OB), represents a good model to study the sequential processes of sensory integration. This thesis attempts to elucidate the neural network properties that the OB displays to encode and discriminate odor-related sensory information. It further attempts to understand how these network features are related to odor perception ability in the behaving animal.