Module convenor: denis.schluppeck@nottingham.ac.uk
The following is a quick overview of the kind of material you will learn about. Note that some lectures may not take the full 2-hour slot.
Where UP Clive Granger A48 - on map
When 1600-1800h Thursdays in Autumn Term.
You can also check time / location via the University of Nottingham timetable
timetable as of 2024-09-09 - some of the lectures may change in order.
Timetable week | Date | Lecturer | Lecture |
---|---|---|---|
02 | 03 Oct 2024 | D Schluppeck | Overview, fMRI & study design. |
03 | 10 Oct 2024 | M Schürmann | Basic neuroanatomy |
04 | 17 Oct 2024 | K Dyke | Brain stimulation & study design. |
05 | 24 Oct 2024 | W v Heuven | Language |
06 | 31 Oct 2024 | Reading week (no lecture) | |
07 | 07 Nov 2024 | D Schluppeck | Vision + brain imaging |
08 | 14 Nov 2024 | D Schluppeck | Q&A, experimental design, coursework |
09 | 21 Nov 2024 | L Cragg | Developmental neuroimaging. |
10 | 28 Nov 2024 | J Derrfuss | Cognitive control, attention, and working memory. |
11 | 05 Dec 2024 | R Filik | Moral Cognition |
12 | 12 Dec 2024 | D Schluppeck | Perceptual Decision making, Conclusion / recap |
Written assignment (max 3000 words) including a 250 word abstract. For details and the submission link, please see the moodle page
a comprehensive knowledge of cognitive neuroscience methods
a thorough understanding of optimal experimental design • basic principles in areas of the neurosciences Intellectual skills:
critically appraise and summarise information related to brain imaging, taking into account the provisional nature of facts and principles in cognitive/clinical/computational neuroscience
be familiar with scientific methods, including the ability to collect and integrate information from the literature
to design experiments, execute experimental investigations or other relevant methods for testing a hypothesis
undertake independent, self-directed research, taking into account ethical considerations
apply knowledge in brain imaging and cognitive/ clinical/ computational neuroscience to address research problems • acquire, interpret and/or critically analyse research data
design and carry out appropriate experiments or procedures to test a hypothesis, including practical skills such as programming for stimulus setup and analysis, collect, record and/or analyse data from accurate observations and measurements Transferable (key) skills:
systematically search for literature, evaluate neuroscientific research, and draw justified conclusions from the evidence
communicate knowledge or arguments (both orally and in writing) to a variety of audiences and to evaluate the views of others