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Active wireless ultrawideband networks based on chaotic radio pulses
Active wireless networks with ultrawideband chaotic pulses used as the data carrier for wireless transmission are discussed. A universal transceiver...
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Final Thoughts
In sum, we have presented an epigenetic catalysis epigenetic catalysis model of development that can, in a natural manner,...
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Timely Dataflow: A Model
This paper studies timely dataflow, a model for data-parallel computing in which each communication event is associated with a virtual time. It...
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Speed-Up of Stochastic Simulation of PCTMC Models by Statistical Model Reduction
We present a novel statistical model reduction method which can significantly boost the speed of stochastic simulation of a population...
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On the Implementation of Quantitative Model Refinement
The iterative process of adding details to a model while preserving its numerical behavior is called quantitative model refinement, and it has been...
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Extensible and Executable Stochastic Models of Fatty Acid and Lipid Metabolism
Stochastic reaction-centric views are suitable for exploring hybrid minimal mechanism-statistical models of fatty acid and lipid metabolism, the...
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Biomechanical modelling in nanomedicine: multiscale approaches and future challenges
Nanomedicine is the branch of nanotechnology devoted to the miniaturization of devices and to the functionalization of processes for the diagnosis...
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Transactions on Computational Systems Biology XIV Special Issue on Computational Models for Cell Processes
The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science...
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Minimal Reaction Systems Defining Subset Functions
In reaction systems introduced by Ehrenfeucht and Rozenberg the number of resources is essential when various questions concerning generative...
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Qualitative modelling via constraint programming
Qualitative modelling is a technique integrating the fields of theoretical computer science, artificial intelligence and the physical and biological...
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A Bioinspired Computing Approach to Model Complex Systems
The use of models is intrinsic to any scientific activity. In particular, formal/mathematical models provide a relevant tool for scientific...
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Empirical Study of Computational Intelligence Strategies for Biochemical Systems Modelling
Modelling biochemical networks can be achieved by iteratively analyzing parts of the systems via top-down or bottom-up approaches. It is feasible to...
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Mean Field for Performance Models with Generally-Distributed Timed Transitions
In this paper we extend the mean-field limit of a class of stochastic models with exponential and deterministic delays to include exponential and...
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Parameter Synthesis for Cardiac Cell Hybrid Models Using δ-Decisions
A central problem in systems biology is to identify parameter values such that a biological model satisfies some behavioral constraints (e.g., time...
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Characterization of Reachable Attractors Using Petri Net Unfoldings
Attractors of network dynamics represent the long-term behaviours of the modelled system. Their characterization is therefore crucial for...
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50 Shades of Rule Composition
Graph rewriting has been applied quite successfully to model chemical and biological systems at different levels of abstraction. A particularly...
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The Benefits of Sometimes Not Being Discrete
Discrete representations of systems are usual in theoretical computer science and they have many benefits. Unfortunately they also suffer from the...
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Processes Inspired by the Functioning of Living Cells: Natural Computing Approach
Natural Computing (cf., e.g., [12,13]) is concerned with human-designed computing inspired by nature as well as with computation taking place in...
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Processes Inspired by the Functioning of Living Cells: Natural Computing Approach
Natural Computing (see, e.g., [12,13]) is concerned with human-designed computing inspired by nature as well as with computation taking place in...