Daten
Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025
Lehrbeauftragte/r
-
Péczely László Zoltán
associate professor,
Institute of Physiology -
Semesterwochenstunden
Vorlesungen: 12
Praktika: 0
Seminare: 0
Insgesamt: 12
Fachangaben
- Kode des Kurses: OXF-GD2-h-T
- 1 kredit
- General Medicine
- Optional modul
- spring
keine
Zahl der Kursteilnehmer für den Kurs:
min. 5 – max. 15
Erreichbar als Campus-Kurs für . Campus-karok: BTK GYTK TTK
Thematik
The course aims to introduce students to the fundamental principles and complexities of human thought. Using a holistic approach, the course will explore the related problems of how correct inference and cognition are possible, applying the tools and results of philosophy, mathematics and neuroscience. Human thinking is based on similarity, analogy, which is the basis of the concepts of differential diagnosis and differential therapy in the field of medicine. In both clinical practice and research, the correct inference and the correct interpretation of data are very important in order to make possible what is perhaps the ultimate goal of science, successful prediction.
In the second semester, we will compare artificial and biological networks and their associated learning processes. We will examine the mind-brain problem, how the brain as a biological object and thinking can be related. We will briefly address the basic cognitive abilities that underlie the processes of thinking and cognition, and the adaptive and learning abilities of biological systems. At the end of the semester, we will briefly discuss the relationship between non-scientific thinking and the arts.
Vorlesungen
- 4. Similarities and differences between biological and artificial networks. - Péczely László Zoltán
- 3. Adaptation: regulation and learning. - Péczely László Zoltán
- 2. Hierarchically nested systems. - Péczely László Zoltán
- 1. Brain-mind problem. - Péczely László Zoltán
- 5. Cognitive functions: perception, attention, decision-making, strategy, memory, thinking, - Péczely László Zoltán
- 6. Learning in biological systems I. - Péczely László Zoltán
- 7. Learning in biological systems II. - Péczely László Zoltán
- 8. Biological constraints on neural network models of cognitive function. - Péczely László Zoltán
- 9. Algorithms, randomness and prediction. - Péczely László Zoltán
- 10. Prediction and the brain. - Péczely László Zoltán
- 11. Is only scientific thinking possible? Thinking as poetry. - Péczely László Zoltán
- 12. Thinking and art. - Péczely László Zoltán
Praktika
Seminare
Materialien zum Aneignen des Lehrstoffes
Obligatorische Literatur
Vom Institut veröffentlichter Lehrstoff
lecture slides
Skript
Empfohlene Literatur
Peter Norvig, Stuart J. Russell: Artificial Intelligence: A Modern Approach
Voraussetzung zum Absolvieren des Semesters
Writing an essay by the end of the semester.
Semesteranforderungen
Peter Norvig, Stuart J. Russell: Artificial Intelligence: A Modern Approach
Möglichkeiten zur Nachholung der Fehlzeiten
not necessary
Prüfungsfragen
Are the same as lecture topics.