Many cell types exhibit oscillatory activity, such as repetitive action potential firing due to the Hodgkin-Huxley dynamics of ion channels in the cell membrane or reveal intracellular inositol triphosphate (IP 3 ) mediated calcium oscillations (CaOs) by calcium-induced calcium release channels (IP 3 -receptor) in the membrane of the endoplasmic reticulum (ER). The dynamics of the excitable membrane and that of the IP 3 -mediated CaOs have been the subject of many studies. However, the interaction between the excitable cell membrane and IP 3 -mediated CaOs, which are coupled by cytosolic calcium which affects the dynamics of both, has not been studied. This study for the first time applied stability analysis to investigate the dynamic behavior of a model, which includes both an excitable membrane and an intracellular IP 3 -mediated calcium oscillator. Taking the IP 3 concentration as a control parameter, the model exhibits a novel rich spectrum of stable and unstable states with hysteresis. The four stable states of the model correspond in detail to previously reported growth-state dependent states of the membrane potential of normal rat kidney fibroblasts in cell culture. The hysteresis is most pronounced for experimentally observed parameter values of the model, suggesting a functional importance of hysteresis. This study shows that the four growth-dependent cell states may not reflect the behavior of cells that have differentiated into different cell types with different properties, but simply reflect four different states of a single cell type, that is characterized by a single model.Key words: Hysteresis; Bistability; Calcium Oscillations; Cell Signaling 2 Complexity and multiple transitions among behaviorial states are ubiquitous in biological systems (1, 2). In physics instabilities and hysteresis are well known to play an important role in collective properties and have been studied since many years (3,4,5,6). Recently, multi-stability with hysteresis has also awakened a large interest in biological systems (7).Instabilities, for instance, are crucial for efficient information processing in the brain, such as in odor encoding (8,9). Moreover, unstable dynamic attractors have been demonstrated in cortical networks, with critical relevance to working memory and attention (10,11,12). In a wide sense, multistable systems allow changes among different stable solutions where the system takes advantage of instabilities as gateways to switch between different stable branches (7). Bistability driven by instabilities prevents the system from reaching intermediate states, e.g. partial mitosis. Hysteresis prevents the system from changing its state when parameter values, that characterize the system, vary. This is of relevance, for instance, in cell mitosis.Once initiated, mitosis should not be terminated before completion (13). Thus, hysteresis may lock the cell into a fixed state, preventing it from sliding back to another state (14).At the level of cell networks, multistability, and in particular bista...