A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Visual information is processed in the posterior parietal cortex for the hypothesized purpose of extracting a variety of affordances for the generation of motor behavior. The term...
This paper describes a physically precise spine model and its application to estimate three dimensional spine posture from the frontal and lateral views of a human body taken by t...
In this paper we introduce a new model for the definition and the implementation of quality of service (QoS) in distributed multimedia systems. The model provides both the users an...
Athanasios G. Malamos, Elias N. Malamas, Theodora ...
In the k-Restricted-Focus-of-Attention (k-RFA) model, only k of the n attributes of each example are revealed to the learner, although the set of visible attributes in each example...
Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jac...
We consider the problem of data dissemination in a satellite network. In contrast to previously studied models, broadcasting is among peers, rather than client server. We introduc...
Bo Xu, Ouri Wolfson, Sam Chamberlain, Naphtali Ris...
This paper defines and examines model checking games for the branching time temporal logic CTL . The games employ a technique called focus which enriches sets by picking out one d...
straction reduces the number of states necessary to perform formal verification while maintaining the functionality of the original model with respect to ifications to be verified....