SOW-DGCN25
Cognitive Control and Decision Making
Course infoSchedule
Course moduleSOW-DGCN25
Credits (ECTS)6
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Cognitive Neuroscience;
Lecturer(s)
PreviousNext 5
Lecturer
prof. dr. E. Aarts
Other course modules lecturer
Coordinator
prof. dr. R. Cools
Other course modules lecturer
Examiner
prof. dr. R. Cools
Other course modules lecturer
Contactperson for the course
prof. dr. R. Cools
Other course modules lecturer
Lecturer
prof. dr. R. Cools
Other course modules lecturer
Academic year2021
Period
SEM2  (31/01/2022 to 15/07/2022)
Starting block
SEM2
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
This course will provide students with a thorough background in the neurobiological, computational and functional properties of human cognitive and behavioural control, motivation, top-down attention, reinforcement learning and impulsive decision making. This will be achieved by providing a multi-disciplinary and convergent-methods approach, integrating essential theoretical and experimental frameworks from experimental psychology, neuroimaging and electrophysiology, psychopharmacology and computational modeling in humans as well as nonhumans animals.
 
By the end of the course, students will have obtained knowledge about the various theoretical frameworks that exist for guiding and interpreting empirical evidence on important constructs in this quickly developing field. In addition, the course will engage them in several activities to get them thinking like scientists. For example, they will be taught to judge and combine existing knowledge and ideas to create new ideas by developing and presenting a research proposal to address an unanswered question in the field.
 
Content
Neurobiological aspects.The course will give a detailed and comprehensive overview of the neurobiological basis of human cognitive control, goal-directed and habitual behavior, and decision making, while taking into account research in humans and animal models. The role of the major ascending neuromodulatory systems, such as those of dopamine, will be discussed. Fields ranging from functional neuroanatomy via neurophysiology, psychopharmacology, genetics, computational modeling to cognitive and experimental psychology will be covered. 
 
Functional aspects.We will focus on basic constituents of cognitive control, such as value-based and perceptual decision making, top-down control of perception and attention, and reinforcement learning. Furthermore, we will discuss failures of control in neurological and psychiatric disorders and across development.
 
Theoretical aspects.Current theories and mathematically formalized computational models applied at various levels of abstraction will be presented and discussed in the light of experimental data.
 
Additional aspects. Where relevant, implications of theories, models and empirical findings for applied and clinical purposes will be discussed. Where necessary, experimental methods and analysis tools for studying cognitive control will be presented.
Level

Presumed foreknowledge

Test information

Specifics

Assumed previous knowledge
This course is for CNS students only. Non-CNS students can contact Ellen Janssen (e.janssen@donders.ru.nl) or Arno Koning ( a.koning@donders.ru.nl).

Required materials
Literature
Recent papers in top-quality journals like Journal of Neuroscience, Trends in Cognitive Sciences, Science, Nature, Journal of Cognitive Neuroscience, Annual Reviews in Neuroscience, Neuropsychopharmacology, Neuroimage, Psychological Review etc.
Articles
Niv Y, Schoenbaum G (2008). Dialogues on prediction errors. Trends Cogn Sci. 2008 Jul;12(7):265-72. doi: 10.1016/j.tics.2008.03.006. Epub 2008 Jun 21. Review

Recommended materials
Articles
Den Ouden, H.E., Kok, P., de Lange, F.P. (2012). How prediction errors shape perception, attention, and motivation. Front Psyhol., 3, 548. doi: 10.3389/fpsyg.2012.00548. Epub 2012 Dec 11.
Articles
Cools R (2019). Chemistry of the Adaptive Mind. Lessons from Dopamine. Neuron 104, 113-131
Articles
Westbrook A, Braver TS (2016) Dopamine Does Double Duty in Motivating Cognitive Effort. Neuron. 2016 Feb 17;89(4):695-710.
Articles
Schultz W, Dayan P, Montague PR (1997). A neural substrate of prediction and reward. Science. 275(5306):1593-9.
Articles
Dolan RJ, Dayan P (2013). Goals and habits in the brain. Neuron. 80(2):312-25.
Articles
Chang, L.J., Smith, A., Dufwenberg, M., & Sanfey, A.G. (2011). Triangulating the neural, psychological, and economic bases of guilt aversion. Neuron, 70, 560-572.
Articles
Cools R, D'Esposito M (2011).Inverted-U-shaped dopamine actions on human working memory and cognitive control.Biol Psychiatry 69(12):e113-25.
Articles
Rahnev, Lau & de Lange (2011). Prior expectation modulates the interaction between sensory and prefrontal regions in the human brain. J.Neurosci, 31(29), 10741-10748.
Articles
Figner B, Knoch D, Johnson EJ, Krosch AR, Lisanby SH, Fehr E, Weber EU (2010). Lateral prefrontal cortex and self-control in intertemporal choice. Nat Neurosci 13(5):538-9.
Articles
Miller EK, Cohen JD (2001). An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 24:167-202. Review.
Articles
Westbrook A, van den Bosch R, Maatta JI, Hofmans L, Papadopetraki D, Cools R, Frank MJ (2020). Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work. Science 367: 1392-1366
Articles
De Lange, Heilbron M, Kok P (2018). How do expectations shape perception? Trends in Cognitive Sciences: 22: 764-779
Articles
Neubert FX, Mars RB, Sallet J, Rushworth MFS (2015). Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex. Proceedings of the National Academy of science USA 11: E2695-E2704
Articles
Badre D, Nee DE. 2018. Frontal Cortex and the hierarchical control of behaviour. Trends in cognitive sciences. Vol 22, issue 2, 170-188, https://doi.org/10.1016/j.tics.2017.11.005
Articles
Shenhav A, Botvinick MM, Cohen JD (2013). Shenhav et al., 2013The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron. 79(2):217-40.
Articles
Tymula and Plassmann (2016). Context-dependency in valuation. Curr Opin Neurobiol 40:59-65
Articles
Schultz W, Dayan P, Montague PR (1997). A neural substrate of prediction and reward. Science. 275(5306):1593-9.

Instructional modes
Lecture
Attendance MandatoryYes

Remark
Student assignments will include developing and presenting a research proposal of an unanswered question in the field.

Student assignments
Attendance MandatoryYes

General
Student assignments will include developing and presenting a research proposal of an unanswered question in the field. The assignments will be made available on a special course site online, via Brightspace.

Tests
Closed-book exam
Test weight75
Test typeExam
OpportunitiesBlock HER, Block SEM2

Remark
NOTE: enrollment for a course automatically registers you for its exam. For participating in the retake, register again.

Assignment
Test weight25
Test typeAssignment
OpportunitiesBlock HER, Block SEM2