The goal of this thesis is to describe the dynamic of the neural network involved in food aversion based on olfactory cue. We performed multisite recordings of local field potential in the behaving rat engaged in such aversion learning and offered two modes of presentation of the olfactory cue: either close to drinking water (distal) or ingested (distal-proximal). After learning, the presentation of the distal cue alone induced the emergence of a powerful oscillation in the beta frequency band (15-40 Hz). Finely correlated with the aversive behavior of the animal, this activity has been proposed as the signature of the neural network functionally involved in odor signal recognition. We showed that this network may be more or less extended depending on how the stimulus has been experienced during conditioning: in some areas (olfactory bulb, piriform cortex, basolateral amygdala, orbitofrontal cortex), modulation of beta power were observed whatever the mode of odor presentation; in other areas (insular and infralimbic cortices) these changes took place only if the odor cue has been ingested. Associated to the analysis of transient oscillatory synchronizations between these different structures, these results allowed us to better understand how a stimulus could be represented in memory by a cerebral network depending on the way the animal had experienced it.