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Neurocognition and Artificial Intelligence


Entry requirements

  • Introduction to Psychology

  • Cognitive Psychology or Consciousness


Cognitive processes such as perception, language, memory and reasoning are the result of interactions between neurons in our brains. Although much is known about the functioning of individual neurons, this course explores how cognition can emerge from artificial neurons, ranging from extremely simple examples to extensive neural networks. This knowledge is necessary for the development of technologies such as artificial intelligence, robots, and prosthetics. This course explains the different ways artificial neurons work together in neural networks, the cognitive processes that these networks produce and how these networks learn to produce these cognitive processes. The course focuses on pattern recognition and visual attention. It also covers the history of artificial intelligence and robotics, show how cognition can be simulated in robotic systems and explore similarities between computers, robots and the human brain.

Course objectives

Students will acquire knowledge of:

  • Aspects of the history of the fields of artificial intelligence, robotics and neurocognition;

  • Examples of how complex behaviour and cognition emerges from different architectures of neural networks and forms of computation; and

  • How neural networks can be trained.


For the timetables of your lectures, workgroups, and exams, select your study programme.
Psychology timetables



Students need to register for lectures, workgroups and exams.
Instructions for registration in courses for the 2nd and 3rd year

For information on registration periods consult the bachelor course registration


Elective students have to enroll for each course separately. For admission requirements contact your study advisor.

Exchange/Study abroad

For admission requirements, please contact your exchange coordinator.


Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the date; students who are not registered will not be permitted to take the examination.
Registering for exams

Mode of instruction

There are 8 2-hour lectures.

Assessment method

There is a written exam consisting of open questions.

Regulation on grade calculation.

The Faculty of Social and Behavioural Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud.

Reading list

  • Markram, H. (2006). The blue brain project. Nature Reviews Neuroscience, 7, 153-160.

  • Oram, M.W. & Perrett, D. I. (1994). Modeling Visual Recognition From Neurobiological Constraints. Neural Networks, 7, 945-972.

  • DiCarlo, J. J. & Cox, D. D. (2007). Untangling invariant object recognition. Trends in Cognitive Sciences., 11, 333-341.

Contact information