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 Pope A24 - on map
When 11am-1pm Wednesdays in Autumn Term.
You can also check time / location via the University of Nottingham timetable
as of 2023-09-11 - some of the lectures may change in order.
Timetable week | Date | Lecturer | Lecture |
---|---|---|---|
02 | Wed 04 Oct 2023 | D Schluppeck | Overview, fMRI & study design. |
03 | Wed 11 Oct 2023 | M Schürmann | Basic neuroanatomy |
04 | Wed 18 Oct 2023 | K Dyke | Brain stimulation & study design. |
05 | Wed 25 Oct 2023 | W v Heuven | Language |
06 | Wed 01 Nov 2023 | D Schluppeck | Vision + brain imaging |
07 | Wed 08 Nov 2023 | D Schluppeck | Q&A, experimental design, coursework |
08 | Wed 15 Nov 2023 | L Cragg | Developmental neuroimaging. |
09 | Wed 22 Nov 2023 | J Derrfuss | Cognitive control, attention, and working memory. |
10 | Wed 29 Nov 2023 | R Filik | Moral Cognition |
11 | Wed 06 Dec 2023 | D Schluppeck | Perceptual Decision making, Q&A for assignment |
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