Fundamentals of Biocybernetics

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

Aim of the course is to present fundamental, cybernetic methods and their application in biology and medicine. The course is focused on explanation of connections and analogy of signal and information processing in living and artificial systems. The course does not require deeper knowledge of biology and physiology. The this course also concentrates on problems concerning computer simulation of biological systems, models of biomedical systems, and technical realization of these models. The aim of this course is to provide students a solid background and a wide scope in the line of biocybernetics.

Requirements:

Syllabus of lectures:

1. Cybernetic methods in biology and medicine. Biosystem classification

2. Thermodynamics of open systems, information, energy and entropy in living organisms

3. Modelling and simulation of organs and organisms, types of models, verification

4. Information processing and transfer in living systems. Interaction of living organisms

5. Neural cells and their interaction, basic types of receptors, coding of sensoric information

6. Information processing in central neural system, memory

7. Biological foundation of adaptivity and learning

8. Memory of species, genes, recording of genetic information, memes

9. Regulation in organisms and societies, homeostatic mechanisms

10. Law of necessary variety, its significance for stability of organisms and societies, evolutionary stable strategy

11. Evolutionary principles, autoreproduction, possibilities of application of evolutionary principles in technical field

12. Propertics and behaviour description biotechnical systems

13. Deterministic chaos and its applications

14. Artificial life, means of algorithmisation and simulators types

Syllabus of tutorials:

1. Matlab and Simulink as tools for modelling, definition of individual projects.

2. Modelling of cell membranes.

3. Consultation.

4. Consultation.

5. Work with NeuralNetwork Toolbox.

6. Consultation.

7. Experiments with genetic algorithms.

8. Consultation.

9. Presentation of results of individual projects.

10. Presentation of results of individual projects.

11. Simulation experiments with chaotic attractors.

12. Simulation experiments with Artificial Life.

13. Experiments with biocybernetic system of adaptive interface.

14. Experiments with biological and computer feedback.

Study Objective:

Study materials:

[1] The Biomedical Engineering Handbook, editor:J.D.Bronzino, CRC Press, IEEE Press, 1995

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Technická kybernetika-inženýrský blok (compulsory elective course)
• Technická kybernetika-inženýrský blok (compulsory elective course)