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de Winkel, K.; Diers, D.; Lächele, M.; Bülthoff, H.: An assessment of Causal Inference in visual-inertial traveled distance estimation. (submitted)

Zaidi, A.; Birbaumer, N.; Fetz, E.; Logothetis, N.; Sitaram, R.: The hemodynamic initial-dip consists of both volumetric and oxymetric changes correlated to localized spiking activity. (submitted)

Zaidi, A.; Birbaumer, N.; Fetz, E.; Logothetis, N.; Sitaram, R.: The timing of hemodynamic changes reliably reflects spiking activity. (submitted)

Parpart, P.; Schulz, E.; Speekenbrink, M.; Love, B.: Active learning reveals underlying decision strategies. (submitted)

Weber, M.; Stelzer, J.; Saucan, E.; Naitsat, A.; Lohmann, G.; Jost, J.: Curvature-based Methods for Brain Network Analysis. (submitted)

Korkmaz Hacialihafiz, D.; Bartels, A.: Objective (Real-world) Motion Responses in Scene Responsive Regions. (submitted)

Lakshminarasimhan, K.; Logothetis, N.; Keliris, G.: Local differences in neuronal activation level decorrelate spatially coherent global fluctuations in gamma rhythms. (submitted)

Danihelka, I.; Lakshminarayanan, B.; Uria, B.; Wierstra, D.; Dayan, P.: Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (submitted)

Lohmann, G.; Stelzer, J.; Mueller, K.; Lacosse, E.; Buschmann, T.; Kumar, V.; Grodd, W.; Scheffler, K.: Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI. (submitted)

Guez, A.; Silver, D.; Dayan, P.: Better Optimism By Bayes: Adaptive Planning with Rich Models. (submitted)

Tabandeh, N.; Spitschan, M.: Measuring and mapping the daylit world. (2023)

Spitschan, M.: Wie wirkt Licht auf uns Menschen? (2022)

Schulz, E.: Science on film, episode 3: Computational principles of intelligence. (2020)

Mohler, B.: Studying Anorexia Nervosa with VR Self-Avatars: Is Body Image a Matter of Perception or Attitude? (2017)

Mohler, B.: Automated Avatar Stylization to Counter the Uncanny Valley. (2016)