KOGPSY

Welcome to the website for Kognitionspsychologie I HS24 (23263-01)

Instructor: Rui Mata, University of Basel

Last updated: Tue Nov 19 13:05:27 2024

Thinking is simply using one’s brain! Photo by Jesse Martini on Unsplash

Session information

Sessions take place Tuesdays, 10.15-11.45, Pharmazentrum, Hörsaal 1.

# Date Topic Slides
1 01.10.2024 Session 1: Introduction pdf
2 08.10.2024 Session 2: Intelligence pdf
3 15.10.2024 Session 3: Perception pdf
4 22.10.2024 Session 4: Spatial cognition pdf
5 29.10.2024 Session 5: Numerical cognition pdf
6 05.11.2024 Session 6: Language pdf
7 12.11.2024 Session 7: Knowing pdf
8 19.11.2024 Session 8: Consciousness
9 26.11.2024 Session 9: Applications: Reading acquisition
10 03.12.2024 Session 10: Applications: Study techniques
11 10.12.2024 Session 11: Applications: Combating misinformation
12 17.12.2024 Session 12: Wrap-up and Q&A

Note. Slides will be made available either shortly after each session

What is this course about?

This course aims to give a broad introduction to central topics in psychology, with a focus on mechanistic and pluralistic explanations of cognition.

What can you expect to learn?

By completing the course you can expect to…

How should you use this website?

This website is designed to help course participants get an overview of the course, including a listing of recommended readings (see below) and the course slides (see table above). A FAQ forum is available on ADAM.

Recommended Readings

Session 1

Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017). Neuroscience needs behavior: Correcting a reductionist bias. Neuron, 93(3), 480–490. http://doi.org/10.1016/j.neuron.2016.12.041

Nesse, R. M. (2013). Tinbergen’s four questions, organized: A response to Bateson and Laland. Trends in Ecology & Evolution, 28(12), 681–682. http://doi.org/10.1016/j.tree.2013.10.008

Session 2

Barbey, A. K. (2018). Network neuroscience theory of human intelligence. Trends in Cognitive Sciences, 22(1), 8–20. http://doi.org/10.1016/j.tics.2017.10.001.

Kovacs, K., & Conway, A. R. A. (2016). Process overlap theory: A unified account of the general factor of intelligence. Psychological Inquiry, 27(3), 151–177. http://doi.org/10.1080/1047840X.2016.1153946

Session 3

Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2018). Chapter 5: Sensation and Perception, Cognitive neuroscience: The biology of the mind (5th ed.). W.W. Norton & Company.

Bracci, S., & Op De Beeck, H. P. (2023). Understanding human object vision: A picture is worth a thousand representations. Annual Review of Psychology, 74(1), 113–135. https://doi.org/10.1146/annurev-psych-032720-041031

Session 4

Burgess, N. (2008). Spatial cognition and the brain. Annals of the New York Academy of Sciences, 1124(1), 77–97. http://doi.org/10.1196/annals.1440.002

Session 5

Siemann, J., & Petermann, F. (2018). Evaluation of the Triple Code Model of numerical processing: Reviewing past neuroimaging and clinical findings. Research in Developmental Disabilities, 72, 106–117. http://doi.org/10.1016/j.ridd.2017.11.001

Session 6

Hickok, G., & Poeppel, D. (2015). Neural basis of speech perception. In M. J. Aminoff, F. Boller, & D. F. Swaab (Eds.), The Human Auditory System (Vol. 129, pp. 149–160). Elsevier. http://doi.org/https://doi.org/10.1016/B978-0-444-62630-1.00008-1

Session 7

Ralph, M. A. L., Jefferies, E., Patterson, K., & Rogers, T. T. (2016). The neural and computational bases of semantic cognition. Nature Reviews Neuroscience, 18(1), 42–55. http://doi.org/10.1038/nrn.2016.150

Session 8

Dehaene, S., Changeux, J.-P., Naccache, L., Sackur, J., & Sergent, C. (2006). Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends in Cognitive Sciences, 10(5), 204–211. http://doi.org/10.1016/j.tics.2006.03.007

Dehaene, S., Lau, H., & Kouider, S. (2017). What is consciousness, and could machines have it? Science, 358(6362), 486–492. http://doi.org/10.1126/science.aan8871

Session 9

Castles, A., Rastle, K., & Nation, K. (2018). Ending the reading wars: Reading acquisition from novice to expert. Psychological Science in the Public Interest, 19(1), 5–51. https://doi.org/10.1177/1529100618772271

Session 10

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. https://doi.org/10.1177/1529100612453266

Session 11

Ecker, U. K. H., Lewandowsky, S., Cook, J., Schmid, P., Fazio, L. K., Brashier, N., Kendeou, P., Vraga, E. K., & Amazeen, M. A. (2022). The psychological drivers of misinformation belief and its resistance to correction. Nature Reviews Psychology, 1(1), 13–29. https://doi.org/10.1038/s44159-021-00006-y

Session 12

No recommended readings for this session.