SCARELLA , Gilles

Tessellation of hypercubes or orthotopes and all their faces in any dimension is a nice challenge. The purpose of this paper is to describe efficient vectorized algorithms to obtain regular tessellations made up by simplices or orthotopes. These vectorized algorithms have been implemented in array programming languages such as Matlab/Octave, Python.

We present a new algorithm to efficiently simulate random models of large neural networks satisfying the property of time asynchrony. The model parameters (average firing rate, number of neurons, synaptic connection probability, and postsynaptic duration) are of the order of magnitude of a small mammalian brain, or of human brain areas. Through...

International audience

The ever-rising diffusion of cellular phones has brought about an increased concern for the possible consequences of electromagnetic radiation on human health. Possible thermal effects have been investigated, via experimentation or simulation, by several research projects in the last decade. Concerning numerical modeling, the power absorption...