Introduction Dynamic contrast enhanced MRI (DCE-MRI) is used to characterize perfusion and extracellular volume in tumors through the tracer kinetic modeling of MRI contrast agents (typically Gd-DTPA). However, the parametric estimates resultant of DCE-MRI may be influenced by several confounding factors, including inter-compartmental water exchange [1]. In contrast to MRI contrast agents, radi...

Mathematics has long been an important tool for understanding and controlling the spread of infectious diseases. Here, we begin with an overview of compartmental models, the traditional approach to modeling infectious disease dynamics, and then introduce contact network epidemiology, a relatively new approach that applies bond percolation on random graphs to model the spread of infectious disea...

Networks: Beyond simple nodes and linear synapses Jaap Hoekstra and Arthur van Roermund Delft University of Technology, Faculty of Electrical Engineering/DIMES P.O. Box 5031, 2600 GA Delft, The Netherlands tel. +31 (0)15 278 3836 fax. +31 (0)15 278 5922 [email protected] Abstract|The paper discusses an analogue neural network concept in which the neuron is split up into parts (more preci...

We have developed and described an analog electronic circuit that adapts the electrotonic properties of a silicon dendrite. The dendrite is modeled by the method of compartmental modeling, consisting of three dendritic compartments each containing a synaptic conductance, and one somatic compartment containing a spiking mechanism. Dendritic synaptic input is represented as an activity signal, wh...

Neurophysiological data reveals intrinsic cellular properties that suggest how entorhinal cortical neurons could code memory by the phase of their firing. Potential cellular mechanisms for this phase coding in models of entorhinal function are reviewed. This mechanism for phase coding provides a substrate for modeling the responses of entorhinal grid cells, as well as the replay of neural spiki...

Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological properties of neurons and their connectivity, leading to an ever increasing computational complexity of neural simulations. At the same time, a rather radical change in personal computer technology emerges with the establishment of multi-cores: high-density, explicitly parallel processor architectures for...

Introduction: Dynamic contrast enhanced MRI (DCE-MRI) with tracer kinetic modeling has been proposed as a biomarker of tumor angiogenesis assessment in humans. Several tracer kinetic models, distributed parameter model (DP), St. Lawrence and Lee model (ATH), and conventional compartmental model (CC), have been proposed to calculate permeability-surface area product (PS). It was found that PS co...

Translational pharmacokinetic (PK) models are needed to describe and predict drug concentration-time profiles in lung tissue at the site of action to enable animal-to-man translation and prediction of efficacy in humans for inhaled medicines. Current pulmonary PK models are generally descriptive rather than predictive, drug/compound specific, and fail to show successful cross-species translatio...

Membrane computing is an interdisciplinary research field focused on new computational models, also known as P systems, inspired by the compartmental model of the cell and the membrane transport mechanisms. Numerical P systems are a type of P systems introduced by Gh. Păun in 2006 for possible applications in economics. Recently, an extension of numerical P systems, enzymatic numerical P system...