Sébastien Tripodi

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Dynamical modeling has proven useful for understanding how complex biological processes emerge from the many components and interactions composing genetic regulatory networks (GRNs). However, the development of models is hampered by large uncertainties in both the network structure and parameter values. To remedy this problem, the models are usually(More)
The Cellular Potts Model (CPM) is a cellular automaton (CA) allowing to model the morphogenesis of living cells. It characterizes a cell by its volume, surface and type. The CPM has already been used to simulate several models of cell selforganization. However, the cell shape is under-constraint i.e. it does not implies a unique shape. We propose a(More)
The Cellular Potts Model (CPM) is a cellular automaton (CA), developed by Glazier and Graner in 1992, to model the morphogenesis. In this model, the entities are the cells. It has already been improved in many ways; however, a key point in biological systems, not defined in CPM, is energetic exchange between entities. We integrate this energetic concept(More)
Nowadays the basic graphic cards contain more than 300 compute cores, which is expected to significantly increase the performances of parallel applications. In the past few years, several works were made concerning the simulation of Multi-agent Systems on the Graphics Processing Unit (GPU). But they often use agents which have a position in the environment(More)
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