Goetschalckx, L.*,
Govindarajan, L. N.*, Ashok, A. K., Ahuja, A., Sheinberg, D. L., & Serre, T. (2023). Computing a human-like reaction time metric from stable recurrent vision models. NeurIPS (Spotlight)
Goetschalckx, L., & Damiano, C. (2023). Understanding memorability through artificial and artist intelligence. Trends in Cognitive Sciences. doi:10.1016/j.tics.2023.08.017
Goetschalckx, L.,
Andonian, A., & Wagemans, J. (2021). Generative adversarial networks unlock new methods for cognitive science. Trends in Cognitive Sciences, 25(9), 788-801. doi:10.1016/j.tics.2021.06.006
Bylinskii, Z., Goetschalckx, L.,
Newman, A., & Oliva, A. (2021). Memorability: An
image-computable measure of information utility. Chapter in Human
perception of visual information: Psychological and
computational perspectives, Springer.
Van de Cruys, S., Damiano, C., Boddez, Y., Król, M., Goetschalckx, L.,
& Wagemans, J. (2021). Visual affects: Linking curiosity,
Aha-Erlebnis, and memory through information gain. Cognition,
212, 104698. doi:10.1016/j.cognition.2021.104698
Goetschalckx*, L.,
Andonian*, A., Oliva, A., & Isola, P. (2019). GANalyze:
Toward visual definitions of cognitive image properties. IEEE
International Conference on Computer Vision, 5744-5753.
Goetschalckx, L.,
Moors, P., Vanmarcke, S., & Wagemans, J. (2019). Get the
picture? Goodness of image organization contributes to image
memorability. Journal of Cognition, 2(1):22.
doi:10.5334/joc.80
