BMCBI
2010
13 years 11 months ago
2010
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
BMCBI
2010
13 years 11 months ago
2010
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
BIODATAMINING
2008
13 years 11 months ago
2008
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
BC
2008
13 years 11 months ago
2008
Abstract This paper presents a simple yet biologicallygrounded model for the neural control of Caenorhabditis elegans forward locomotion. We identify a minimal circuit within the C...
BC
2008
13 years 11 months ago
2008
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
BC
2008
13 years 11 months ago
2008
Abstract In previous work, we constructed a simple electromechanical model of transduction in the rat mystacial follicle that was able to replicate primary afferent response profil...
BC
2007
13 years 11 months ago
2007
We propose a quantitative model for human smooth pursuit tracking of a continuously moving visual target which is based on synchronization of an internal expectancy model of the ta...
BC
2007
13 years 11 months ago
2007
The paper introduces mirror neuron system II (MNS2), a new version of the MNS model (Oztop and Arbib in Biol Cybern 87(2):116–140, 2002) of action recognition learning by mirror ...
AUTOMATICA
2008
13 years 11 months ago
2008
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
AUTOMATICA
2008
13 years 11 months ago
2008
This paper analyzes the Fourier model reduction (FMR) method from a rational Krylov projection framework and shows how the FMR reduced model, which has guaranteed stability and a ...