Neural Information Processing

Computational Vision Journal Club

Summer Term 2023

Day, time & location:

Mondays from 14:45 till 15:45 (please note we will start at 14:45 – no academic quarter or c.t.)
First meeting: Monday, April 24th, 2023,  14:45 hrs
Location: seminar room on the 1st floor of Maria-von-Linden-Str. 6

To register for the course, please join the course on ILIAS


Students can obtain 3 ECTS for the active participation in the Journal Club (non graded, only pass or fail). 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.

date # article
17.04.2023 no journal club
24.04.2023 #1 Barlow, H. B. (1972). Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology? Perception, 1(4), 371–394.  (Felix Wichmann)

no journal club (Erster Mai / First of May Holiday)

08.05.2023 #2 Yuille, A., & Kersten, D. (2006). Vision as Bayesian inference: Analysis by synthesis? Trends in Cognitive Sciences, 10(7), 301–308.  (Uli Wannek)
15.05.2023 no journal club 
22.05.2023 no journal club
29.05.2023 no journal club (Pfingsten / Pentecost)
05.06.2023 no journal club


#3 Kersten, D., Mamassian, P., & Yuille, A. (2004). Object Perception as Bayesian Inference. Annual Review of Psychology, 55(1), 271–304.  (Matthias Tangemann)
19.06.2023 no journal club
#4 Jones, M., & Love, B. C. (2011). Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34(4), 169–188.  (David-Elias Künstle)
#5 Rao, R. P. N., & Ballard, D. H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79–87.  (Thomas Klein)
10.07.2023 no journal club
17.07.2023 no journal club
#6 Storrs, K. R., & Fleming, R. W. (2021). Learning about the world by learning about images. Current Directions in Psychological Science, 30(2), 120–128.  (Barbara Mühlbauer)




Q & A: We meet and try and write a summary together on the "essence" of the Bayesian approach to perception.