A specific class of ODEs has been shown to be adequate to describe the essential features of the complex dynamics of Gene-Regulatory Networks (GRN). But, the effective exploitatio...
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...
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Background: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces...
Aaron N. Chang, Jason McDermott, Zachary Frazier, ...
Abstract. The last decades have seen the emergence of the sea of objects paradigm for structuring complex distributed systems on workstations and local area networks. In this appro...