Pascal Ballet

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In this article, we present a parallel image processing system based on the concept of reactive agents. Our system lies in the oRis language, which allows to describe ÿnely and simply the agents' behaviors to detect image features. We also present a method of segmentation using a multi-agent system, and two biological applications made with oRis. The(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 self-organization. However, the cell shape is under-constraint i.e. it does not implies a unique shape. We propose a(More)
The relevance of biological materials and processes to computing-alias bioputing-has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls(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)
While the control of cell migration by biochemical and biophysical factors is largely documented, a precise quantification of cell migration parameters in different experimental contexts is still questionable. Indeed, these phenomenological parameters can be evaluated from data obtained either at the cell population level or at the individual cell level.(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)
The first aim of simulation in virtual environment is to help biologists to have a better understanding of the simulated system. The cost of such simulation is significantly reduced compared to that of in vivo simulation. However, the inherent complexity of biological system makes it hard to simulate these systems on non-parallel architectures: models might(More)
New concepts may prove necessary to profit from the avalanche of sequence data on the genome, transcriptome, proteome and interactome and to relate this information to cell physiology. Here, we focus on the concept of large activity-based structures, or hyperstructures, in which a variety of types of molecules are brought together to perform a function. We(More)