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
Sessions take place Tuesdays, 10.15-11.45, Pharmazentrum, Hörsaal 1.
# | Date | Topic | Slides |
---|---|---|---|
1 | 01.10.2024 | Session 1: Introduction | |
2 | 08.10.2024 | Session 2: Intelligence | |
3 | 15.10.2024 | Session 3: Perception | |
4 | 22.10.2024 | Session 4: Spatial cognition | |
5 | 29.10.2024 | Session 5: Numerical cognition | |
6 | 05.11.2024 | Session 6: Language | |
7 | 12.11.2024 | Session 7: Knowing | |
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
This course aims to give a broad introduction to central topics in psychology, with a focus on mechanistic and pluralistic explanations of cognition.
By completing the course you can expect to…
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.