Experimental data for tubular pressure oscillations in rat kidneys are analyzed in order to examine the different types of synchronization that can arise between neighboring functional units. For rats with normal blood pressure, the individual unit ͑the nephron͒ typically exhibits regular oscillations in its tubular pressure and flow variations. For such rats, both in-phase and antiphase synchronization can be demonstrated in the experimental data. For spontaneously hypertensive rats, where the pressure variations in the individual nephrons are highly irregular, signs of chaotic phase and frequency synchronization can be observed. Accounting for a hemodynamic as well as for a vascular coupling between nephrons that share a common interlobular artery, we develop a mathematical model of the pressure and flow regulation in a pair of adjacent nephrons. We show that this model, for appropriate values of the parameters, can reproduce the different types of experimentally observed synchronization. © 2001 American Institute of Physics. ͓DOI: 10.1063/1.1376398͔The kidneys play an essential role in regulating the blood pressure and maintaining a proper environment for the cells of the body. This control depends to a large extent on mechanisms associated with the individual functional unit, the nephron. However, a variety of cooperative phenomena that arise from interactions among the nephrons may also be important. In-phase synchronization, for instance, where the nephrons simultaneously perform the same regulatory adjustments of the incoming blood flow is likely to produce fast and strong effects in the overall response to changes in the external conditions. Out-ofphase synchronization, on the other hand, will lead to a slower and less pronounced response of the system in the aggregate. The purpose of the present paper is to demonstrate how different forms of synchronization can be observed in the pressure and flow variations for neighboring nephrons. Particularly interesting is the observation of chaotic phase synchronization in rats with high blood pressure. Based on a description of the physiological mechanisms involved in the various regulations, we develop a mathematical model that can account for the experimentally observed synchronization phenomena.