Introductory Lecture to Physics, Chemistry and Living Systems Stream

Physics, Chemistry and Living Systems

Introductory lecture

Speaker:
Dr. Ruben Tikidji-Hamburyan

Summer school AACIMP-2010,
Kyiv, KPI, August, 4

Main ideas of program formation

Actuality and novelty
Diversity
Quality
of topics, fields, approaches, teaching methods, studying etc.

Stream courses:

1. Introduction to modern methods and tools for biologically plausible
modeling of neurons and neural networks (Lectures - 4 h., Practice activity – 4 h.),
Dr. R. Tikidji-Hamburyan
2. Brain–computer interface. Approaches and methods (3 h.), Dr. T. Aksenova
3. Problems of synchronization and presentation of space and time in neural
networks (10 h.), Prof. Witali L. Dunin-Barkowski
4. Models of synaptic transmission (4 h.), Dr. D. Bibichkov
5. Neuron Connection With Computer in Dynamic-Clamp Experiments (2 h.), Dr.
A. Chizhov
6. Models of Neuron Populations (2 h.), Dr. A. Chizhov
7. Urgent Questions of Virology (1 h.), Dr. Z. Klestova
8. Visual Cortex (3 h.), Dr. D. Bibichkov&Dr. A. Chizhov
9. Chemoinformatics (2 h.), Dr. I. Tetko
10. Experimental Diagnostics of Our Universe (2 h.), Dr. E. Podladchikova
11. Open Discussion : The Open Questions in Neuroscience (3 h)
Total hours: 40

Stream information

 Stream language: English
 Stream rooms:
 40(3), build.#1,
 258 of build.#1 and 235 of build.#3 for practice work
 Plenary lectures at the stream program:
 Presentation of EURO XXV conference in Vilnius,
Prof. L. Sakalauskas
 P&G master-class on logistics
 Innovation technologies of 3D-modelling, Materialize
 The Open Questions in Neuroscience (Open Discussion),
Conference hall of Scientific Park, build.#6, 11.08.10


Teachers and courses

Countries and Universities

Southern Federal University, Max Planck Institute for Biophysical
Rostov-on-Don, Rusiia Chemistry, Germany

CEA, Atomic Energy Center, Ioffe Physical-Technical Institute of the
Grenoble, France. Russian Academy of Sciences

Countries and Universities

Royal Observatory of Belgium,
Solar-Terrestrial Center of Excellence,
Belgium.

The Institute of Veterinary
Medicine of UAAS, Ukraine.

Institute of Bioinformatics and Systems Biology, German Research
Center for Environmental Health, Munich, Germany

Astrophysics
Organizations:
Royal Observatory of Belgium, Solar-Terrestrial Center of Excellence,
Belgium
Areas of scientific researches:
Large scale impulsive solar processes, kinetic processes of quiet Sun
corona formation, software development and scientific preparation for
SECCHI on board of the NASA STEREO mission (co-investigation).

Course information:
The participants of the stream “Physics, Chemistry and Living Systems”
Dr. Elena
learn about basic physical and chemical characteristics of celestial
Podladchikova
bodies and their systems, get acquainted with basic methods of
experimental diagnostics of the Universe and modern techniques of
data analysis in astrophysics. Besides, this course gives the idea about
the structure of the Sun and the processes that occur on it. It is
commonly known that these processes are quite independent from
external influences and are determined solely by its own laws..

Summer school AACIMP-2010 http://summerschool.ssa.org.ua

Problems of Viral Infections’ Emergence and a
Role of Bioinformatics for Identify their Causes
Organizations:
The Institute of Veterinary Medicine of UAAS, Ukraine.
Member of Euroscience and Governing Board, European Plant
Biotechnology Network, Scientific Council of the Institute of Veterinary
Medicine (scientific secretary), etc.
Viral infections, the development of biotechnologies anti-viral drugs, the
development of measures to combat and prevent the virus and associated
diseases, research of the impact of viruses on the cell's genome, research
of mutagenesis and antimutagenesis, ecology of viruses, the search and
the creation of new chemical antiviral agents.
Doctor of
Veterinary
Science, PhD ,
Course information:
Zinayida Contemporary problems of virology, emergent infections, origin,
spreading, monitoring. Genetic analysis of pathogens, role of
Klestova
bioinformatics in questions of phylogenesis, monitoring and
prognostication will be reviewed within the course.


Chemoinformatics

Organizations:
Institute of Bioinformatics and Systems Biology, German Research
Center for Environmental Health, Munich, Germany.
application of quantitative structure activity relationships (QSARs) for
the estimation of physico-chemical, biological properties and toxicity of
chemical compounds, development of methodological approaches to
estimate accuracy of predictions, algorithms of data storage.

Course information:
PhD in bioorganic The course is focused on application of achievements of
chemistry, MSc in chemoinformatics for solution of current environmental problems. The
computer course begins with overview of basic notions in chemoinformatics, its
physics, theoretical and practical importance for development of pharmaceutics
Dr. Igor Tetko and medicine. Several examples of practical application of
chemoinformatics in discovery of medicine and environment will be
given. At the course the lecturer tells about the latest achievements in
this scientific field.


Neuron Synchronization and Representation
of Space and Time in Neural Networks
Organizations:
Department of Neuroinfomatics, Center for Optical Neural Technologies,
Scientific Research Institute for Systems Analysis, Russian Academy of
Sciences, Moscow, Russia.
experimental and theoretical biophysics of different parts of nervous
system- little brain, brainstem, Ammon's horn and biophysics of cells,
neural systems, problems of general artificial intelligence.

Course information:
Professor, Dr., The course is based on classical and modern works, that model and
Witali L. Dunin- analyze several features of neuronal systems operation. In particular,
Barkowski two aspects of information representation by impulse neuronal activity
are considered: pulse-frequency code and cooperative effects of
synchronized vs. desynchronized impulse activity of single neurons in
homogenous neural populations. The course is based on the latest
researches in this area.


Brain-Computer Interface.
Approaches and Methods
Organizations:
CEA, Atomic Energy Center, Grenoble, France.

Signal processing and pattern recognition: methods and algorithms of
signal processing, modeling and pattern recognition using the inverse
methods of nonlinear oscillation theory; algorithms of fast calculation for
real time analysis, neuronal signal processing, brain-computer interface.

Course information:
PhD, The course familiarizes students with main technologies, tasks and
methods in BCI systems. The lecturer highlights the main areas of
Tatiana development of invasive and non-invasive BCI systems, the approaches
Aksenova which are applied, mathematical methods and algorithms; tell about the
successful application of BCI systems in different spheres (particularly in
clinical medicine).


Models of Synaptic Transmission

Organizations:
Max Planck Institute for Biophysical Chemistry, Gottingen, Germany;
Bernstein Center for Computational Neuroscience, Berlin, Germany.
Information processing, perception and primary analysis in nervous
system; cellular and subcellular training mechanisms; structure of
celebrum neural networks; types of cells in cerebral cortex, algorithms
and methods to analyze focal and impulse activity in cerebral cortex.

Course information:
PhD, The course gives an introduction into the principles of communication
Dmitry between neural cells via synapses. The lecturer presents basic
Bibichkov mathematical models of chemical synapses, models of short-term and
longterm plasticity; during the lecture the influence of synaptic
properties on information transmission between single cells and on
behavior of neural networks are discussed. Several examples illustrate
how these properties can be used to explain certain biologically
substantial phenomena.


Neuron Connection with Computer in
Dynamic-Clamp Experiments
Organizations:
Ioffe Physical Technical Institute of Russian Academy of Sciences, Saint-
Petersburg, Russia.
Biophysical models of separate neurons; development of records for
experimental intracellular measurements (Dynamic-Clamp); theory of
neuron population models; biophysically-detailed model of cortical
neural tissue, a model of visual cortex.

Course information:
This course represents biophysical detailed neuron models of the
PhD,
Hodgkin-Huxley type, their main properties and reductions. This
Dr. Anton Chizhov knowledge allows controlling neuron in real time that gives new
possibilities for electrophysiological measurements and that is an
example of brain system interaction with computer. Proceeding to
consideration of statistical ensemble of neurons, population models of
various classes are demonstrated starting from exact models on basis of
probability distribution function finishing with simple models of a
frequency type.


Methods and Tools for Detailed Modeling
of Neurons and Neural Networks
Organizations:
A. Kogan Research Institute for Neurocybernetics, Southern Federal
University, Rostov-on-Don, Russia.
Information processing, perception and primary analysis in nervous
system; cellular and subcellular training mechanisms; structure of
celebrum neural networks; types of cells in cerebral cortex, algorithms
and methods to analyze focal and impulse activity in cerebral cortex.

Course information:
The main notions of neurobiology are presented in this course. An
Senior researcher, overview of mathematical methods which are used for neurons and
PhD in technical neural networks modeling are given. The attendees receive basic
science, knowledge on brain cells (neurons) and contacts among them
Ruben Tikidji- (synapses), biophysical and biochemical aspects of neuronal models as
Hamburyan well as review special software. Other courses of the stream “Physics,
Chemistry and Living Systems” devoted to contemporary neuroresearch
and neurotechnologies are a continuation of this course and are based
on the notions, methods and concepts delivered in it.


Practical course
Methods and Tools for Detailed Modeling of Neurons and
Neural Networks
Tutor: Senior researcher, PhD in technical science,
Ruben Tikidji-Hamburyan


Organizing committee. Contacts

Responsible on a work with participants –
Sandra Yaremchuk
+38(093) 936 3332,
+38(097) 115 9087.

Technical support –
Igor Stepanyan
+38(095) 556 1562

Student Science Association
Room 299(15), build.#1
+38(044) 454 9243

Introductory Lecture to Physics, Chemistry and Living Systems Stream

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