Cognitive neuroscience traditionally studies cognitive psychological processes, such as perception, action, emotion, consciousness, memory, decision making and attention in humans from different angles and disciplines. The aim of cognitive neuroscience is to examine mechanisms in the nervous system and cognitive models that can explain these human functions. This is achieved using techniques, knowledge and modelling from biochemistry, anatomy, physiology, pathology, behavioural psychology, and informatics. In this course, students will learn new insights with regard to how humans process information and how this is relevant for artificial intelligence.
Acquire current knowledge about the neuroscientific basis of cognitive processes.
Writing a scientific report to relate this neuroscientific knowledge to artificial intelligence.
The most updated version of the timetables can be found on the students' website:
Timetable Artificial Intelligence
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Mode of instruction
14 Lectures and 14 workgroups.
The final grade for this course will be an average of:
A written exam (partly open essay questions, and parly multiple choice) – weight 60%
A lab report – weight 40%
The minimal grade for both the exam and the paper is 5.0 and the weighted average must be higher than 5.5 in order to pass this course.
Ward, J., The Student’s Guide to Cognitive Neuroscience. Psychology Press (2019) 4th Edition.
ISBN: 9781138490543 (paperback)
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Dr. David A. Vogelsang
Email: email@example.com Education coordinator LIACS bachelors