The “Theoretical Foundations of Brain & Cognition” journal club gets together once a month to discuss a particular theoretical article in the fields of cognitive (neuro)science and psychology. We are located at the University of Amsterdam (department of Psychology) and we meet every second Friday of the month from 16.00-17.00!
|13 Mar 2020||16.00-17.00||TBA||Jessica Loke||G S.34|
|28 Feb 2020||16.00-17.00||TBA||Steven Scholte||TBA|
Signing up for the TFBC mailing list
List of previously discussed papers
- Yarkoni, T. (2019). The Generalizability Crisis (presented by Joe Bathelt).
- Boonstra & Slagter. (2019). The Dialectics of Free Energy Minimization. Frontiers in systems neuroscience, 13, 42 (presented by Evert himself).
- Meehl, P. (1967). Theory-Testing in Psychology and Physics: A Methodological Paradox. Philosophy of science, 34(2), 103-115 (presented by Lukas).
- Carlson, T., Goddard, E., Kaplan, D. M., Klein, C., & Ritchie, J. B. (2018). Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. NeuroImage, 180, 88-100 (presented by Jolien).
- Bergner, R. M. (2018). The case against the case against free will. Journal of Theoretical and Philosophical Psychology, 38(3), 123 (presented by Yair).
- Cichy, R. M., & Kaiser, D. (2019). Deep neural networks as scientific models. Trends in cognitive sciences (presented by Lynn).
- Niiniluoto, I. (1999). Defending abduction. Philosophy of science, 66, S436-S451 (presented by Steven S.).
- Eisenberg, I., Bissett, P., Enkavi, A. Z., Li, J., MacKinnon, D., Marsch, L., & Poldrack, R. (2018). Uncovering mental structure through data-driven ontology discovery. PsyArXiv preprint from https://psyarxiv.com/fvqej/ (presented by Jolien).
- de-Wit, L., Alexander, D., Ekroll, V., & Wagemans, J. (2016). Is neuroimaging measuring information in the brain? Psychonomic bulletin & review, 23(5), 1415-1428 (presented by Lola).
- Borsboom, D., Cramer, A., & Kalis, A. (2018). Brain disorders? Not really… Why network structures block reductionism in psychopathology research. Behavioral and Brain Sciences, 1-54 (discussion with Denny Borsboom).
- Barrett, L. F. (2009). The future of psychology: Connecting mind to brain. Perspectives on psychological science, 4(4), 326-339 (presented by Steven S.).
- Jonas, E., & Kording, K. P. (2017). Could a neuroscientist understand a microprocessor? PLoS computational biology, 13(1), e1005268 (presented by Jolien).
- Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons from machine learning. Perspectives on Psychological Science, 12(6), 1100-1122 (presented by Lukas).
Computational cognitive (neuro)science symposium
The initiative for this journal club arose at the “computational cognitive (neuro)science” symposium organized by Jolien, Lola, Lukas, and Steven (Scholte) in February 2018. You can find the presentation slides below: