Course content

The course is a theoretical in-depth course in cognitive neuroscience with a focus on the overall theory of nervous system function. An overall perspective is the relationship between biological nervous systems and artificial neural networks. An introduction is given to important methods in cognitive neuroscience, including computational methods, brain imaging methods and comparative methodology. Examples are given of different theoretical approaches, which are compared and critically evaluated based on an understanding of the possibilities and limitations of the different methods.

Learning outcome

Knowledge:

• The candidate understands a selection of key theories about the human nervous system, for example, predictive processing and modularity.
• The candidate knows the anatomy and function of the brain, including functional neural networks.

Skills:

• The candidate can analyze and relate critically to theories about the nervous system and its function.
• The candidate can analyze and relate critically to the relationship between theory and empiricism within cognitive neuroscience, based on knowledge of the possibilities and limitations of central methods.

General competence:

• The candidate has achieved an advanced understanding of scientific thinking.
• The candidate has developed an ability to analyze neuroscientific theories in an independent and critical manner.
• The candidate can evaluate and communicate the results of central theories clearly.

Learning methods and activities

Lectures

Compulsory assignments

• Assignment

Specific conditions

Required previous knowledge

PSY3100