Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Abstract. Systematic user errors commonly occur in the use of interactive systems. We describe a formal reusable user model implemented in higher-order logic that can be used for m...
Abstract We describe an event-based, publishand-subscribe system based on using "smart subscriptions" to recognize weakly structured events. We present a hierarchy of sub...
Abstract. Graded path quantifiers have been recently introduced and investigated as a useful framework for generalizing standard existential and universal path quantifiers in the b...
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
Boudjelal Meftah, Olivier Lezoray, Michel Lecluse,...