Introductory Lecture to Physics, Chemistry and Living Systems Stream

Introductory lecture

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

Speaker:

Dr. Ruben Tikidji-Hamburyan

Physics, Chemistry and Living Systems

Actuality and novelty

Diversity

Quality

of topics, fields, approaches, teaching methods, studying etc.

Main ideas of program formationPhysics, Chemistry and Living Systems

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 courses:Physics, Chemistry and Living Systems

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

Stream informationPhysics, Chemistry and Living Systems

Teachers and courses


Countries and Universities Physics, Chemistry and Living Systems

Southern Federal University, Rostov-on-Don, Rusiia

Max Planck Institute for Biophysical Chemistry, Germany

CEA, Atomic Energy Center, Grenoble, France.

Ioffe Physical-Technical Institute of the Russian Academy of Sciences

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 ResearchCenter for Environmental Health, Munich, Germany

Countries and Universities Physics, Chemistry and Living Systems

http://summerschool.ssa.org.uaSummer school AACIMP-2010

Astrophysics

Dr. Elena Podladchikova

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”

learn about basic physical and chemical characteristics of celestial 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..



Problems of Viral Infections’ Emergence and a Role of Bioinformatics for Identify their Causes

Doctor of Veterinary Science, PhD ,Zinayida Klestova

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.

Areas of scientific researches: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.

Course information:Contemporary problems of virology, emergent infections, origin, spreading, monitoring. Genetic analysis of pathogens, role of bioinformatics in questions of phylogenesis, monitoring and prognostication will be reviewed within the course.



Chemoinformatics

PhD in bioorganic chemistry, MSc in computer physics,Dr. Igor Tetko

Organizations:

Institute of Bioinformatics and Systems Biology, German Research

Center for Environmental Health, Munich, Germany.

Areas of scientific researches:

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:The course is focused on application of achievements of chemoinformatics for solution of current environmental problems. The course begins with overview of basic notions in chemoinformatics, its theoretical and practical importance for development of pharmaceutics 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 Representationof Space and Time in Neural Networks

Professor, Dr.,Witali L. Dunin-Barkowski

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:The course is based on classical and modern works, that model and analyze several features of neuronal systems operation. In particular, 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

PhD,Tatiana Aksenova

Organizations: CEA, Atomic Energy Center, Grenoble, France.

Areas of scientific researches: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:The course familiarizes students with main technologies, tasks and methods in BCI systems. The lecturer highlights the main areas of development of invasive and non-invasive BCI systems, the approaches 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

PhD,Dmitry Bibichkov

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:The course gives an introduction into the principles of communication between neural cells via synapses. The lecturer presents basic 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

PhD,Dr. Anton Chizhov

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 Hodgkin-Huxley type, their main properties and reductions. This 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 Modelingof Neurons and Neural Networks

Senior researcher, PhD in technical science,Ruben Tikidji-Hamburyan

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 overview of mathematical methods which are used for neurons and neural networks modeling are given. The attendees receive basic knowledge on brain cells (neurons) and contacts among them (synapses), biophysical and biochemical aspects of neuronal models as well as review special software. Other courses of the stream “Physics, Chemistry and Living Systems” devoted to contemporary neuroresearchand 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 AssociationRoom 299(15), build.#1+38(044) 454 9243

Introductory Lecture to Physics, Chemistry and Living Systems Stream

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