Admission requirements
Not applicable.
Description
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.
Course objectives
After this course, the student is able to:
Explain fundamental neuroscientific principles like gross brain anatomy and neuronal firing;
Explain how cognitive neuroscientific methods such as MRI, EEG, and lesion studies can be used to study brain and cognition;
Explain key principles and mechanisms underlying human cognition including perception, memory, and action control;
Implement a simple multi-layer perceptron and convolutional neural network for image classification;
Compare the brain to artificial neural networks in (visual) perception in a written essay.
Timetable
In MyTimetable, you can find all course and programme schedules, allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally, you can easily link MyTimetable to a calendar app on your phone, and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video, read the instructions, or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Mode of instruction
14 lectures and 14 workgroups.
Assessment method
The final grade for this course will be an average of:
A written exam (partly open 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. There is a resit opportunity for the exam, and for the lab report. The maximum grade for the lab report resit is a 6.0. Non-completed lab reports are graded with a 1.
Reading list
Ward, J., The Student’s Guide to Cognitive Neuroscience. Psychology Press (2019) 4th Edition.
ISBN: 9781138490543 (paperback)
Registration
As a student, you are responsible for enrolling on time through MyStudyMap.
In this short video, you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Dr. Steven Miletić
Email: s.miletic@fsw.leidenuniv.nl
Education coordinator LIACS bachelors
Remarks
Software
Starting from the 2024/2025 academic year, the Faculty of Science will use the software distribution platform Academic Software. Through this platform, you can access the software needed for specific courses in your studies. For some software, your laptop must meet certain system requirements, which will be specified with the software. It is important to install the software before the start of the course. More information about the laptop requirements can be found on the student website.