Outputs (48)

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, 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..

A presaccadic perceptual impairment at the postsaccadic location of the blindspot (2023)
Journal Article
Smith, D. T., Beierholm, U., & Avery, M. (2023). A presaccadic perceptual impairment at the postsaccadic location of the blindspot. PLoS ONE, 18(9), Article e0291582. https://doi.org/10.1371/journal.pone.0291582

Saccadic eye movements are preceded by profound changes in visual perception. These changes have been linked to the phenomenon of ‘forward remapping’, in which cells begin to respond to stimuli that appear in their post-saccadic receptive field befor... Read More about A presaccadic perceptual impairment at the postsaccadic location of the blindspot.

Different types of uncertainty in multisensory perceptual decision making (2023)
Journal Article
Aston, S., Nardini, M., & Beierholm, U. (2023). Different types of uncertainty in multisensory perceptual decision making. Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1886), Article 20220349. https://doi.org/10.1098/rstb.2022.0349

Efficient decision-making requires accounting for sources of uncertainty (noise, or variability). Many studies have shown how the nervous system is able to account for perceptual uncertainty (noise, variability) that arises from limitations in its ow... Read More about Different types of uncertainty in multisensory perceptual decision making.

Newly learned shape-colour associations show signatures of reliability-weighted averaging without forced fusion or a memory colour effect (2022)
Journal Article
Aston, S., Pattie, C., Graham, R., Slater, H., Beierholm, U., & Nardini, M. (2022). Newly learned shape-colour associations show signatures of reliability-weighted averaging without forced fusion or a memory colour effect. Journal of Vision, 22(13), Article 8. https://doi.org/10.1167/jov.22.13.8

Reliability-weighted averaging of multiple perceptual estimates (or cues) can improve precision. Research suggests that newly-learned statistical associations can be rapidly integrated in this way for efficient decision-making. Yet, it remains unclea... Read More about Newly learned shape-colour associations show signatures of reliability-weighted averaging without forced fusion or a memory colour effect.

Developmental changes in colour constancy in a naturalistic object selection task (2022)
Journal Article
Wedge-Roberts, R., Aston, S., Beierholm, U., Kentridge, R., Hurlbert, A., Nardini, M., & Olkkonen, M. (2023). Developmental changes in colour constancy in a naturalistic object selection task. Developmental Science, 26(2), Article e13306. https://doi.org/10.1111/desc.13306

When the illumination falling on a surface changes, so does the reflected light. Despite this, adult observers are good at perceiving surfaces as relatively unchanging – an ability termed colour constancy. Very few studies have investigated colour co... Read More about Developmental changes in colour constancy in a naturalistic object selection task.

Evaluating Gaussian Grasp Maps for Generative Grasping Models (2022)
Conference Proceeding
Prew, W., Breckon, T., Bordewich, M., & Beierholm, U. (2022). Evaluating Gaussian Grasp Maps for Generative Grasping Models.

Generalising robotic grasping to previously unseen objects is a key task in general robotic manipulation. The current method for training many antipodal generative grasping models rely on a binary ground truth grasp map generated from the centre thir... Read More about Evaluating Gaussian Grasp Maps for Generative Grasping Models.

Dopamine and reward-related vigor in younger and older adults (2022)
Journal Article
Hird, E. J., Beierholm, U., De Boer, L., Axelsson, J., Backman, L., & Guitart-Masip, M. (2022). Dopamine and reward-related vigor in younger and older adults. Neurobiology of Aging, 118, 34-43. https://doi.org/10.1016/j.neurobiolaging.2022.06.003

Vigor reflects how motivated people are to respond to stimuli. We previously showed that, on average, humans are more vigorous when a higher rate of reward is available, and that this relationship is modulated by the dopamine precursor levodopa. Dopa... Read More about Dopamine and reward-related vigor in younger and older adults.

Bayesian Causal Inference: A Unifying Neuroscience Theory (2022)
Journal Article
Shams, L., & Beierholm, U. (2022). Bayesian Causal Inference: A Unifying Neuroscience Theory. Neuroscience & Biobehavioral Reviews, 137, Article 104619. https://doi.org/10.1016/j.neubiorev.2022.104619

Understanding of the brain and the principles governing neural processing requires theories that are parsimonious, can account for a diverse set of phenomena, and can make testable predictions. Here, we review the theory of Bayesian causal inference,... Read More about Bayesian Causal Inference: A Unifying Neuroscience Theory.