Faculty Faculty of Science and Medicine Domain Digital Neuroscience Code UE-SDN.00001 Languages English Type of lesson Lecture
Level Master Semester SA-2022
Schedules and rooms
Summary schedule Thursday 08:15 - 10:00, Hebdomadaire (Autumn semester)
Struct. of the schedule 2h during 14 weeks Contact's hours 28
Responsibles Teachers Description
This class provides a basic introduction to the field of neuroscience. In the first four lectures, the instructor will cover basic topics in neuroscience.
For the remaining lectures, the students will be paired up (to fully profit from the interdisciplinary background of students, ideally one student with a background in computer science and another student with a background in natural science) to present one of four selected chapters from the book “23 Problems in Systems Neuroscience” by van Hemmen and Sejnowski from Oxford University Press. This book identified the 23 basic problems in (systems) neuroscience that are thought to shape the field in the 21st century, in analogy to the 23 Hilbert Problems in Mathematics to be tackled in the 20th century. I will give a brief general introduction to the topic followed by the presentation by the students.
In the week following the presentation of the problem / chapter, they present paper that has tackled this problem and potentially provided an answer (or not).
In order to prepare for class and to actively contribute to a lively discussion, each student has to submit a question for each of the oral student presentations beforehand.
All information about the class can be found in the attached Syllabus. Please download it.
After the “Introduction to Neuroscience” class, students will have a fundamental notion about which problems are tackled how in modern neuroscience.
They will know
- how neurons communicate by chemical and electrical signals
- how the neural code can be decoded and reflect aspects of the external world
- the basic neuroanatomy of the human and animal brain
- the basic functioning of sensory and motor systems
- how experimental designs are investigated with electrophysiological and neuroimaging methods
In addition, they will be able to critically reflect on these problems by reviewing the literature to find studies that have tackled these problems.
They will be able to
- present selected chapters tackling a fundamental problem in systems neuroscience
- review the literature to find studies that have tackled this question and provided an answer (or not)
- actively contribute to the class discussion by formulating a question about each chapter and study presented
Softskills No Off field No BeNeFri No Mobility No UniPop No
Dates and rooms
Date Hour Type of lesson Place 22.09.2022 08:15 - 10:00 Cours PER 09, Room 0.114 29.09.2022 08:15 - 10:00 Cours PER 09, Room 0.114 06.10.2022 08:15 - 10:00 Cours PER 09, Room 0.114 13.10.2022 08:15 - 10:00 Cours PER 09, Room 0.114 20.10.2022 08:15 - 10:00 Cours PER 09, Room 0.114 27.10.2022 08:15 - 10:00 Cours PER 09, Room 0.114 03.11.2022 08:15 - 10:00 Cours PER 09, Room 0.114 10.11.2022 08:15 - 10:00 Cours PER 09, Room 0.114 17.11.2022 08:15 - 10:00 Cours PER 09, Room 0.114 24.11.2022 08:15 - 10:00 Cours PER 09, Room 0.114 01.12.2022 08:15 - 10:00 Cours PER 09, Room 0.114 15.12.2022 08:15 - 10:00 Cours PER 09, Room 0.114 22.12.2022 08:15 - 10:00 Cours PER 09, Room 0.114
Evaluation continue et examen oral
Assessments methods By rating
Valid for the following curricula: Additional Courses in Sciences
Paquet indépendant des branches > Specialized courses in Digital Neuroscience (Master level)
Digital Neuroscience (Specialised Master) 120 [MA]
sp-MSc in Digital Neuroscience, compulsory courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, compulsory courses (from AS2022 on)