Neurophysiology: Introduction to Electrophysiology and Imaging
5 EC
Semester 1, period 1
5244NEUR5Y
| Owner | Master Brain and Cognitive Sciences |
| Coordinator | Reinder Dorman |
| Part of | Master Brain and Cognitive Sciences, domain Cognitive Neuroscience, |
This course gives an in-depth overview of a variety of methods that are commonly and currently used to answer research questions in cognitive neuroscience. The methods that will be covered throughout the class answer questions at several levels including molecular, cellular, regional, inter-regional and systems and are conducted using in vitro, animal models, human participants and/or patients and mathematical models.
Overall, the contents of the course are subdivided into three categories: 1) methods that answer questions at the molecular and cellular level and which are more invasive and thus mainly use animal models (such as: intracellular and extracellular recordings, 2-photon imaging) and 2) methods that answer questions at the regional, inter-regional and systems level, which are not invasive and thus are mainly conducted in humans (such as, EEG, fMRI). 2) Advanced methods, such as decoding brain signals in real time from EEG, computational modeling, advanced MRI techniques, and causally invering techniques).
Each one of the lectures will be given by an experienced researcher who actively uses the method that he/she will discuss with the class. The lecturers will explain: 1) how the particular method works, 2) advantages of the methods, 3) disadvantages of the methods, 4) what type of questions can be answered by using the method, 5) experimental designs used to incorporate the method and 6) common applications of the method.
Lectures and work lectures
|
Activity |
Number of hours |
|
Tentamen |
3 |
|
Werkcollege |
32 |
|
Zelfstudie |
85 |
Requirements of the programme concerning attendance (OER-B):
Additional requirements for this course:
Students need to be present at 80% of Seminars (4 out of 5). Missing more than one Seminar means the student fails this part of the course and needs to either redo it next year or the student will be given an alternative assignment.
| Item and weight | Details |
|
Final grade | |
|
3.75 (38%) Exam 1 | Must be ≥ 5.5 |
|
3.75 (38%) Exam 2 | Must be ≥ 5.5 |
|
2.5 (25%) Journal Club Grade |
For exams, grades are determined in direct proportion to points obtained. For example, a student who obtains 83 points out of a 100 will score an 8.3 for the exam.
Contact the course coordinator to make an appointment for inspection.
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
week 1: neuronal electrophysiology: intracellular, extracellular
week 2: population physiology: oscillations, EEG and 2-photon
week 3: whole brain: MRI
week 4: adv: computational modeling + Midterm exam
week 5: adv research techniques: encoding/decoding and causal inference
week 6: exam preparation
week 7: final exam
Journal Clubs on relevant subjects are held each week, except for week 4 and 7.
Response lectures are held before the midterm and final exam
The schedule for this course is published on DataNose.
max. 24.
This course is mandatory for first year students of the Master Brain and Cognitive Sciences, cognitive neuroscience track. They will be registered automatically.
For each lecture there will be: one review paper and/or book chapter and one application paper assigned. The details of the reading material that the students need to obtain will be available in blackboard.
The power point presentation of each lecture will be available in blackboard shortly after the class.
In order to provide students some insight how we use the feedback of student evaluations to enhance the quality of education, we decided to include the table below in all course guides.
| Course Name (#EC) | N | |
| Strengths | Notes for improvement |
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| Response lecturer: |
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