Journal Club Summer Term 2018
Day, time & location:
During term time:
Fridays from 11:00 till 12:30 hrs, weekly, starting on April 20th, 2018
72076 Tübingen, Sand 6, room F230
Students can obtain 2 ECTS for the active participation in the Journal Club (non graded, only pass or fail). Active participation implies, first, that students have to present at least one paper during term. Second, they have to attend the Journal Club regularly: non-attendance will only be tolerated once per term (unless the student provides a doctor's note).
Finally, the number of participants at the Journal Club is strictly limited to 10, and members of the NIP lab take precedence over external students. Thus in practice there is a limit of 2, 3 or maximally 4 external students per term, depending on the number of current NIP lab members.
| Week | Date | Presenter | Paper |
|---|---|---|---|
| 1 | 20.04.2018 | Tom Wallis | Introduction and paper assignment |
| 2 | 27.04.2018 | Heiko Schütt | Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017). Building machines that learn and think like people. Behavioral and Brain Sciences, 40. [target article] |
| 3 | 04.05.2018 | Tom Wallis | Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017). Building machines that learn and think like people. Behavioral and Brain Sciences, 40. [commentaries + reply] |
| 4 | 11.05.2018 | Malav Shah | Edelman, S., & Shahbazi, R. (2012). Renewing the respect for similarity. Frontiers in Computational Neuroscience, 6. doi.org/10.3389/fncom.2012.00045 |
| 5 | 18.05.2018 | – | no journal club |
| 6 | 25.05.2018 | – | Pfingsten |
| 7 | 01.06.2018 | Marlene Weller | Ritter, S., Barrett, D. G., Santoro, A., & Botvinick, M. M. (2017). Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study. arXiv Preprint arXiv:1706.08606. Retrieved from arxiv.org/abs/1706.08606 |
| 8 | 08.06.2018 | – | no journal club |
| 9 | 15.06.2018 | Judy Borowski | Zeman, A., Obst, O., Brooks, K. R., & Rich, A. N. (2013). The Müller-Lyer Illusion in a Computational Model of Biological Object Recognition. PLoS ONE, 8(2), e56126. doi.org/10.1371/journal.pone.0056126 |
| 10 | 22.06.2018 | Claudio Michaelis | Spoerer, C. J., McClure, P., & Kriegeskorte, N. (2017). Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition. Frontiers in Psychology, 8. doi.org/10.3389/fpsyg.2017.01551 |
| 11 | 29.06.2018 | – | no journal club |
| 12 | 06.07.2018 | Christina Funke | Watanabe, E., Kitaoka, A., Sakamoto, K., Yasugi, M., & Tanaka, K. (2018). Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction. Frontiers in Psychology, 9. doi.org/10.3389/fpsyg.2018.00345 |
| 13 | 13.07.2018 | Felix Wichmann | Fleuret, F., Li, T., Dubout, C., Wampler, E. K., Yantis, S., & Geman, D. (2011). Comparing machines and humans on a visual categorization test. Proceedings of the National Academy of Sciences, 108(43), 17621–17625. |
| 14 | 20.07.2018 | Bernhard Lang | Yan, Z., & Zhou, X. S. (2017). How intelligent are convolutional neural networks? arXiv Preprint arXiv:1709.06126. |