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Many
recent discoveries in biological sciences have been made at the
interface of physics and biology. This is not surprising, since
behind many biological processes lie physical phenomena.
Moreover, theories and methods of physical sciences allow one to
create new effective tools for the study of biological systems.
Examples are NMR scanners, X-ray devices, electron microscopes,
ultrasound and laser techniques and many others. Our research is
focussed on the modelling of biological processes and on the
development of methods for their control. The research areas
include cardiovascular dynamics, neural networks, drug delivery
physics, population dynamics and psychoacoustics. Some
illustrations of our research are given below.
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Contacts: Alexander Balanov, Dmitry Gulevich, Feo Kusmartsev, Olga Kusmartseva, Sergey Savel'ev, Gerry Swallowe
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Physics of embolic stroke: Computational forecast of
arterial blockages in a virtual patient has the potential to
provide the next generation with advanced clinical monitoring aid
for stroke prevention. As a first step towards a physiologically
realistic virtual patient, we are creating a computer model that
investigates the effect of emboli (particles or gas bubbles) as
they become lodged in the brain.
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Cardiovascular rhythmic activity: The cardiovascular system
is known to be able to demonstrate a variety of rhythmic
activities associated with heart beat, respiration, oscillatory
processes in blood vessels, etc. In our research we
use the methods of nonlinear dynamics to model and to study
oscillations in the cardiovascular system. Part of our research is
devoted to the development of the techniques for non-invasive
control of cardiovascular
rhythmic activity. Illustrations of some of our experiments can be
found here
and here.
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Physics of pulmonary drug delivery: Our interest in
pulmonary drug delivery is evoked by the recent emergence of
inhaled systemic drugs and by the global concern over the sharp
rise in respiratory conditions such as asthma and chronic
obstructive pulmonary disease. Using physical approaches we try to
develop new effective methods for the measurement of drug inhaler
performance. We participated in the creation of the VariDose (c) system, which enables pharmaceutical companies to quickly
and efficiently test a wide range of drug-device combinations.
Data from the VariDose technology can assist with improved use of
metered dose inhalers and spacers, and should influence future designs of such devices for improved dose control. See poster for more detail.
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Neuron networks: Traditionally
neuron networks are associated with the functioning of the nervous system:
that is, a large network within which a large number of single
cells (neurons) work in a cooperative manner. Today the term
“neuron networks” often refers to artificial neurons that mimic
the properties of biological neurons. Artificial neuron networks
can be used either for understanding of biological neural
networks, or for solving artificial intelligence problems without
creating a model of a real biological system. One aspect of our
research is to study these collective phenomena using a variety of
physical methods. Particularly we are interested in cooperative
dynamics of neurons and in related phenomena like synchronization,
clustering, dynamical complexity, transfer of information, and
also in the development of methods to control the above phenomena.
Some very simple models of single neurons are illustrated here
and here.
One of the main problems that make
the analysis of neuron networks extremely difficult is the huge
complexity of couplings between single elements. In
our research we are developing new theoretical approaches that
will apply the mathematical apparatus of modern theoretical
physics to computationally difficult problems in neural networks.
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Population dynamics: Interaction
of populations of different species in an isolated ecosystem can
lead to complex dynamics, which is characterized by oscillations
of the populations' sizes. The picture becomes even more complex
when different ecosystems are connected with each other. We study
the collective effects which appear in such systems, and are
trying to reveal the common phenomena that characterize the
dynamics of interacting populations.
The
picture to the left illustrates interaction between the T4-phages
(viruses) and bacteria.
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Psychoacoustics: For some years research has been carried out in the department into the acoustics of percussion instruments and in particular bells and gongs. These are unusual in that the modes are, in general, inharmonic yet campanologists attribute a specific note to a bell when it is sounded sometimes even if it is an untuned bell. The source of this characteristic ‘strike note’ has been a subject of speculation for over 100 years. Its origin is believed to be due to a psychoacoustic effect but it is still not clear what the exact processes producing the ‘strike note’ are. Work in this area is continuing.
The picture to the left illustrates vibrational modes of a bell. |
References
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A. Samardak, A. Nogaret, N.B. Janson, A.G. Balanov, I. Farrer and D. A. Ritchie, “Spiking computation and stochastic amplification in a neuron-like semiconductor microstructure”, J. Appl. Phys. 109 (2011) 102408. (Figure from the paper was placed on the cover page of the issue).
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A. Samardak, A. Nogaret, N.B. Janson, A.G. Balanov, I. Farrer and D. A. Ritchie, “Noise-Controlled Signal Transmission in a Multithread Semiconductor Neuron”, Phys. Rev. Lett. 102 (2009) 226802.
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E.M.L. Chung, J.P. Hague and D.H. Evans, “Revealing the mechanisms underlying embolic stroke using computational modeling”, Phys. Med. Biol. 52 (2007) 7153-7166.
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B. Hauschildt, A.G. Balanov, N.B. Janson, and E. Schöll, “Noise-induced cooperative dynamics and its control in coupled neuron models”, Phys. Rev. E 74, 051906 (2006).
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Smith, P.R. and Kusmartseva, O.E., patent WO 2004093951, “Device for pulmonary drug delivery”.
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Kusmartseva, O.E., Kattige, A.S., Price, R. and Smith, P.R., “In-line assessment of pulmonary drug delivery using light obscuration”, Biosensors and Bioelectronics 20, 468-474 (2004);
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S. Rzeczinski, N. B. Janson, A. G. Balanov, and P. V. E. McClintock, “Regions of cardiorespiratory synchronization in humans under paced respiration”, Phys. Rev. E. 66, 051909 (2002)
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N.B. Janson, A.G. Balanov, V.S. Anishchenko, and P.V.E. McClintock, “Modelling the dynamics of angles of human R-R intervals”, Physiological Measurement 22, 565-579 (2001).
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V.S. Anishchenko, A.G. Balanov, N.B. Janson, N.B. Igosheva and G.V Bordyugov, “Entrainment between heart rate and weak noninvasive forcing”, Int. J. of Bifurcation. & Chaos 10, No. 10, 2339-2348 (2000).
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D.E. Postnov, A.G. Balanov, N.B. Janson, and E. Mosekilde, “Homoclinic Bifurcation as a Mechanism of Chaotic Phase Synchronization”, Phys. Rev. Lett. 83, 1942-1945 (1999)
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D.E. Postnov, A.G. Balanov and E. Mosekilde, “Synchronization phenomena in an array of population dynamic systems”, Adv. Complex Systems 1, 181-202 (1998).
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Swallowe, G.M., Charnley, T. and Perrin, R., ''New Musical Scales'', Journal of the Acoustical Society of America, 94,1166-1167 (1993).
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Swallowe, G.M., Perrin, R., Sattar, G., Colley, A.M. and Hargreaves, D.J., ''On Consonance: Pleasantness and Interestingness of Four Component Complex Tones'', Acustica - Acta Acustica, 83, 1997, pp 897-902.
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