The course approaches various concepts revolving around the neural code and neural computations, with examples drawn both from the experimental literature and computational models. The concepts can be understood with minimal mathematical background. The course is organized around distinct modules, each targeting a central concept in cognitive neuroscience. We will discuss methodological and epistemological challenges and how they structure current research. Examples will be drawn from all fields of cognition (e.g., memory & learning, consciousness, decision making) and include both human and animal examples.
Learning outcomes
On successful completion of this course, students should be able to:
- Understand key concepts in cognitive neuroscience and how they relate to experimental strategies, in vivo and in silico
- Identify constraints on interpretation in experimental research articles,
- Develop a critical mindset when analyzing the literature, when building a research project
- Learn how concepts evolved and continue to evolve
Level: M2
Number of hours: 24h
Language: English