BMCBI
2010
13 years 7 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 7 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 7 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 7 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 7 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 7 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 7 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 7 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 7 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 7 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 ...