All Outputs (3)

BCI Toolbox: An open-source python package for the Bayesian causal inference model (2024)
Journal Article
Zhu, H., Beierholm, U., & Shams, L. (2024). BCI Toolbox: An open-source python package for the Bayesian causal inference model. PLoS Computational Biology, 20(7), Article e1011791. https://doi.org/10.1371/journal.pcbi.1011791

Psychological and neuroscientific research over the past two decades has shown that the Bayesian causal inference (BCI) is a potential unifying theory that can account for a wide range of perceptual and sensorimotor processes in humans. Therefore, we... Read More about BCI Toolbox: An open-source python package for the Bayesian causal inference model.

The overlooked role of unisensory precision in multisensory research. (2024)
Journal Article
Zhu, H., Beierholm, U., & Shams, L. (2024). The overlooked role of unisensory precision in multisensory research. Current Biology, 34(6), R229-R231. https://doi.org/10.1016/j.cub.2024.01.057

Zhu et al. present an alternative explanation for the weaker multisensory illusions in football goalkeepers compared with outfielders and non-athletes, showing that better unisensory precision in goalkeepers can also account for this effect.

Proximity to rewards modulates parameters of effortful control exertion. (2024)
Journal Article
Devine, S., Roy, M., Beierholm, U., & Otto, A. R. (2024). Proximity to rewards modulates parameters of effortful control exertion. Journal of Experimental Psychology: General, 153(5), 1257–1267. https://doi.org/10.1037/xge0001561

The now-classic goal-gradient hypothesis posits that organisms increase effort expenditure as a function of their proximity to a goal. Despite nearly a century having passed since its original formulation, goal-gradient-like behavior in human cogniti... Read More about Proximity to rewards modulates parameters of effortful control exertion..