19 research outputs found
Phase Transitions Induced by Diversity and Examples in Biological Systems
Tesis leída en l'Universitat de les Illes Balears en diciembre de 2010The present thesis covers various topics that range over di erent
aspects of scientific research. On one end there is the specific analysis of a precise form that models some experimental observations.
A good theoretical understanding of the mathematics that describe
the observations can be a guide to the experimentalist and help estimate the validity of the measurements. On the other end there
are abstract models whose relation to physical systems seem far but
they are prototypic for a broad range of di erent systems and the
drawn conclusions tend to be quite general. Depending on the abstraction and on the simplifications in use the distinction between
both ends might not be sharp. The ordering of the research results
presented in part II of this thesis somehow reflects the seamless
transition from one end to the other. To introduce the reader into
the context of the genuine results we provide introductory material
in the chapters of the present part I.Peer reviewe
Synchronization and entrainment of coupled circadian oscillators
Circadian rhythms in mammals are controlled by the neurons located in the
suprachiasmatic nucleus of the hypothalamus. In physiological conditions, the
system of neurons is very efficiently entrained by the 24-hour light-dark
cycle. Most of the studies carried out so far emphasize the crucial role of the
periodicity imposed by the light dark cycle in neuronal synchronization.
Nevertheless, heterogeneity as a natural and permanent ingredient of these
cellular interactions is seemingly to play a major role in these biochemical
processes. In this paper we use a model that considers the neurons of the
suprachiasmatic nucleus as chemically-coupled modified Goodwin oscillators, and
introduce non-negligible heterogeneity in the periods of all neurons in the
form of quenched noise. The system response to the light-dark cycle periodicity
is studied as a function of the interneuronal coupling strength, external
forcing amplitude and neuronal heterogeneity. Our results indicate that the
right amount of heterogeneity helps the extended system to respond globally in
a more coherent way to the external forcing. Our proposed mechanism for
neuronal synchronization under external periodic forcing is based on
heterogeneity-induced oscillators death, damped oscillators being more
entrainable by the external forcing than the self-oscillating neurons with
different periods.Comment: 17 pages, 7 figure
Order parameter expansion study of synchronous firing induced by quenched noise in the active rotator model
We use a recently developed order parameter expansion method to study the
transition to synchronous firing occuring in a system of coupled active
rotators under the exclusive presence of quenched noise. The method predicts
correctly the existence of a transition from a rest state to a regime of
synchronous firing and another transition out of it as the intensity of the
quenched noise increases and leads to analytical expressions for the critical
noise intensities in the large coupling regime. It also predicts the order of
the transitions for different probability distribution functions of the
quenched variables. We use numerical simulations and finite size scaling theory
to estimate the critical exponents of the transitions and found values which
are consistent with those reported in other scalar systems in the exclusive
presence of additive static disorder
Advantages of Hopping on a Zig-zag Course
We investigate self-moving particles which prefer to hop with a certain
turning angle equally distributed to the right or left. We assume this turning
angle distribution to be given by a double Gaussian distribution. Based on the
model of Active Brownian particles and we calculate the diffusion coefficient
in dependence on the mean and the dispersion of the turning angles. It is shown
that bounded distribution of food in patches will be optimally consumed by the
objects if they hop preferably with a given angle and not straight forwardly.Comment: 10 pages, 3 figures, accepted to be published in Physica
Drug absorption through a cell monolayer: a theoretical work on a non-linear three-compartment model
The subject of analysis is a non-linear three-compartment model, widely used
in pharmacological absorption studies. It has been transformed into a general
form, thus leading automatically to an appropriate approximation. This made the
absorption profile accessible and expressions for absorption times, apparent
permeabilities and equilibrium values were given. These findings allowed a
profound analysis of results from non-linear curve fits and delivered the
dependencies on the systems' parameters over a wide range of values. The
results were applied to an absorption experiment with multidrug
transporter-affected antibiotic CNV97100 on Caco-2 cell monolayers.Comment: 21 pages, 8 figures (v4: detailed definition of the treated model -
additional information about limitations
Critical behavior of a Ginzburg-Landau model with additive quenched noise
We address a mean-field zero-temperature Ginzburg-Landau, or \phi^4, model
subjected to quenched additive noise, which has been used recently as a
framework for analyzing collective effects induced by diversity. We first make
use of a self-consistent theory to calculate the phase diagram of the system,
predicting the onset of an order-disorder critical transition at a critical
value {\sigma}c of the quenched noise intensity \sigma, with critical exponents
that follow Landau theory of thermal phase transitions. We subsequently perform
a numerical integration of the system's dynamical variables in order to compare
the analytical results (valid in the thermodynamic limit and associated to the
ground state of the global Lyapunov potential) with the stationary state of the
(finite size) system. In the region of the parameter space where metastability
is absent (and therefore the stationary state coincide with the ground state of
the Lyapunov potential), a finite-size scaling analysis of the order parameter
fluctuations suggests that the magnetic susceptibility diverges quadratically
in the vicinity of the transition, what constitutes a violation of the
fluctuation-dissipation relation. We derive an effective Hamiltonian and
accordingly argue that its functional form does not allow to straightforwardly
relate the order parameter fluctuations to the linear response of the system,
at odds with equilibrium theory. In the region of the parameter space where the
system is susceptible to have a large number of metastable states (and
therefore the stationary state does not necessarily correspond to the ground
state of the global Lyapunov potential), we numerically find a phase diagram
that strongly depends on the initial conditions of the dynamical variables.Comment: 8 figure
Phase transitions induced by microscopic disorder: a study based on the order parameter expansion
Based on the order parameter expansion, we present an approximate method
which allows us to reduce large systems of coupled differential equations with
diverse parameters to three equations: one for the global, mean field, variable
and two which describe the fluctuations around this mean value. With this tool
we analyze phase-transitions induced by microscopic disorder in three
prototypical models of phase-transitions which have been studied previously in
the presence of thermal noise. We study how macroscopic order is induced or
destroyed by time independent local disorder and analyze the limits of the
approximation by comparing the results with the numerical solutions of the
self-consistency equation which arises from the property of self-averaging.
Finally, we carry on a finite-size analysis of the numerical results and
calculate the corresponding critical exponents
Stochastic and Non-linear effects in Biological Systems
Memoria de investigación presentada por Niko Komin, en el Departamento de Física de la UIB, el 22 de
octubre 2008.This work deals with two different fields of research. The first is dedicated
to the modelling of motion found in biology. We will give a short introduction
to the topic and present two possible ways to describe biological motion. Both
were inspired by the research on swarming in the Humboldt University Berlin
and applied to model the motion of the water flea (Daphnia). One of them is
presented in more detail in chapter 2. The second field of research is related
to the work at the IFISC (UIB-CSIC) within the BioSim network. It is about
drug absorption through cell monolayers. In this introduction we will introduce some aspects of biological research at the level of dynamical systems and
present the results from the analysis of a drug absorption model in chapter 3Peer reviewe
Multiscale Modeling Indicates That Temperature Dependent [Ca2+]i Spiking in Astrocytes Is Quantitatively Consistent with Modulated SERCA Activity.
How to address cellular heterogeneity by distribution biology
Cellular heterogeneity is an immanent property of biological systems that covers very different aspects of life ranging from genetic diversity to cell-to-cell variability driven by stochastic molecular interactions, and noise induced cell differentiation. Here, we review recent developments in characterizing cellular heterogeneity by distributions and argue that understanding multicellular life requires the analysis of heterogeneity dy- namics at single cell resolution by integrative approaches that combine methods from non-equilibrium statistical physics, in- formation theory and omics biology