We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
—When programming a spatial computing medium such as a cellular automaton, the hop count distance to some set of sources (particles) is an often used information. In particular, ...
Eliciting, modeling, and analyzing the requirements are the main challenges to face up when you want to produce a formal specification for distributed systems. The distribution and...
Aziz Salah, Rabeb Mizouni, Rachida Dssouli, Benoit...
The theory of monotone dynamical systems has been found very useful in the modeling of some gene, protein, and signaling networks. In monotone systems, every net feedback loop is p...