Cognitive Systems
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
X33KSY | KZ | 3 | 2+1s | Czech |
- The course is a substitute for:
- Cognitive Systems (A6M33KSY)
- Lecturer:
- Tutor:
- Supervisor:
- Department of Cybernetics
- Synopsis:
-
The aim of the subject is to provide students with knowledge of structure and basic functions of brain, receptors' information processing. Further significance of adaptation and learning, its importance, realization and use in biosystems and technical systems. Attention is paid to the interaction brain-body, coordination of motion and the man-machine interface.
- Requirements:
-
Conditions for approval: presence in seminars and labs, measurements, presentation of solved task
- Syllabus of lectures:
-
1. Brain and methods for its investigation
2. Processes of perception (sight, hearing, olfactory sense, taste, touch)
3. Sight and vision system
4. Hearing, auditory system, speech
5. Consciousness
6. Memory
7. Visual and auditory objects
8. Recognition
9. Language, space and development of cognitive flexibility
10. Adaptation and learning
11. Interaction of body and brain
12. Movement control
13. Significance, realization and use in biosystems and technical systems
14. Intelligent man-machine interface
- Syllabus of tutorials:
-
1. Brain structure
2. Function of receptors and processes of perception
3. Processing of visual information
4. Processing of acoustic information
5. EEG recording at rest
6. EEG recording during mental activity
7. EEG recording during body movements
8. Evaluation of recorded data
9. Evaluation of recorded data
10. Evaluation of recorded data
11. Realization of learning principles in biosystems
12. Realization of learning principles in technical systems
13. Sensomotoric functions
14. Principles of intelligent man-machine interface
- Study Objective:
- Study materials:
-
[1] Gazzaniga, M., Ivry, R., & Mangun, G. (1998). Cognitive Neuroscience: The Biology of the Mind. New York: W.W. Norton and Co.
[2] Haugeland, J. (1997). Mind Design II: Philosophy, Psychology, Artificial Intelligence (2nd ed.). Cambridge, MA: MIT Press (A Bradford Book).
[3] Luger, G.F. (1994). Cognitive Science: The Science of Intelligent Systems. Boston, MA: Academic Press.
[4] Pfeifer, R. ,& Scheier, C. (2001). Understanding Intelligence. Cambridge,
MA: MIT Press.
[5] Pinker, S. (1997). How the Mind Works. New York: W. W. Norton & Company.
[6] Sternberg, R. J. (Ed.).(1999). The nature of cognition. Cambridge, MA: MIT Press.
[7] Wilson, R. A., & Keil, F. C. (Eds.). (1999). The MIT Encyclopedia of the Cognitive Sciences. Cambridge, MA: MIT Press
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
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- Heavy-current Engineering - Technological Systems- structured studies (elective specialized course)
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- Electronics - Electronic Systems- structured studies (elective specialized course)
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- Economics and Management in Electrical Engineering- structured studies (elective specialized course)
- Electronics - Electronic Applications- structured studies (elective specialized course)
- Electronics - Electronics and Photonics- structured studies (elective specialized course)
- Cybernetics and Measurements - Artificial Intelligence- structured studies (elective specialized course)
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- Heavy-current Engineering - Electrical Engineering Applications- structured studies (elective specialized course)
- Telecommunications and Radio-engineering - Opto-electric Systems- structured studies (elective specialized course)
- Telecommunications and Radio-engineering - Radio Communications, Navigation and Radar Systems- struc (elective specialized course)
- Telecommunications and Radio-engineering - Multimedia, Sound and Television Technology- structured s (elective specialized course)
- Telecommunications and Radio-engineering - Telecommunications- structured studies (elective specialized course)