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PSYC-E469
Apprentissage et modélisation
Course teacher(s)
Irene COGLIATI DEZZA (Coordinator)ECTS credits
5
Language(s) of instruction
french
Course content
In the last decades, computational models have been widely used by psychologists and cognitive neuroscientists to gain insights into the mechanisms underlying human cognition and behavior. The growing interest in these approaches, as evidenced by numerous studies and emerging conferences, has given rise to a new scientific discipline: computational cognitive neuroscience. This course will explore the latest insights from this field by examining various computational models (e.g., reinforcement learning, Bayesian models, predictive coding, drift-diffusion models, neural networks, etc.), along with their implementation and applications. Through practical exercises, students will gain hands-on experience and delve into this dynamic and rapidly evolving area of research.
Objectives (and/or specific learning outcomes)
By the end of the course, students will acquire a comprehensive understanding of various classes of computational modeling, their applications across different research areas in human cognition and behavior, their implementation.
Teaching methods and learning activities
Lecture and practical activities.
References, bibliography, and recommended reading
Material will be provided during the classes if necessary
Course notes
- Université virtuelle
Other information
Contacts
Contact with the professor regarding the course material is preferably made during class or asynchronously using the course forum on the UV, which is created for this purpose.
Campus
Solbosch
Evaluation
Method(s) of evaluation
- Practice work
- Personal work
- Oral presentation
Practice work
Personal work
Oral presentation
The course evaluation will be based on the work completed throughout the semester, as well as through a presentation during an oral exam.
Mark calculation method (including weighting of intermediary marks)
The final grade, out of 20, will be the sum of the practical work completed throughout the semester [for a total of 6 points], and a final exam [14 points]. The evaluation will also take into account attendance and participation during the sessions.
Language(s) of evaluation
- english
- french
- (if applicable english, french )