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» Computing Reachable States for Nonlinear Biological Models
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IWANN
2009
Springer
14 years 1 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
CMSB
2004
Springer
14 years 24 days ago
Combining State-Based and Scenario-Based Approaches in Modeling Biological Systems
Biological systems have recently been shown to share many of the properties of reactive systems. This observation has led to the idea of using methods devised for the construction ...
Jasmin Fisher, David Harel, E. Jane Albert Hubbard...
ICALP
2003
Springer
14 years 18 days ago
Hierarchical and Recursive State Machines with Context-Dependent Properties
Abstract. Hierarchical and recursive state machines are suitable abstract models for many software systems. In this paper we extend a model recently introduced in literature, by al...
Salvatore La Torre, Margherita Napoli, Mimmo Paren...
BIB
2008
109views more  BIB 2008»
13 years 7 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
CMSB
2009
Springer
14 years 2 months ago
Approximation of Event Probabilities in Noisy Cellular Processes
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
Frédéric Didier, Thomas A. Henzinger...