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Ulrik R. Beierholm
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2020 – today
- 2024
- [j6]Haocheng Zhu, Ulrik R. Beierholm, Ladan Shams:
BCI Toolbox: An open-source python package for the Bayesian causal inference model. PLoS Comput. Biol. 20(7): 1011791 (2024) - 2022
- [c6]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. IJCNN 2022: 1-9 - [i2]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. CoRR abs/2206.00432 (2022) - 2020
- [c5]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. ICPR 2020: 9843-9850 - [i1]William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss. CoRR abs/2011.02888 (2020)
2010 – 2019
- 2019
- [c4]Jake Spicer, Adam Sanborn, Ulrik R. Beierholm:
Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerostiy judgements. CogSci 2019: 3578 - 2017
- [c3]Tim Yates, Nathanael Larigaldie, Ulrik R. Beierholm:
A non-parametric Bayesian prior for causal inference of auditory streaming. CogSci 2017 - 2016
- [j5]Adam N. Sanborn, Ulrik R. Beierholm:
Fast and Accurate Learning When Making Discrete Numerical Estimates. PLoS Comput. Biol. 12(4) (2016) - 2014
- [r2]Ulrik R. Beierholm:
Bayesian Approaches in Computational Neuroscience: Overview. Encyclopedia of Computational Neuroscience 2014 - [r1]Ulrik R. Beierholm:
Perception, Bayesian Models of. Encyclopedia of Computational Neuroscience 2014 - 2013
- [c2]Ulrik R. Beierholm:
Bayes Optimality of Human Perception, Action and Learning: Behavioural and Neural Evidence. BrainComp 2013: 117-129 - 2011
- [j4]Marc Guitart-Masip, Ulrik R. Beierholm, Raymond J. Dolan, Emrah Düzel, Peter Dayan:
Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination. J. Cogn. Neurosci. 23(12): 3933-3938 (2011) - [j3]Ulrik R. Beierholm, Cedric Anen, Steven Quartz, Peter Bossaerts:
Separate encoding of model-based and model-free valuations in the human brain. NeuroImage 58(3): 955-962 (2011) - 2010
- [j2]David R. Wozny, Ulrik R. Beierholm, Ladan Shams:
Probability Matching as a Computational Strategy Used in Perception. PLoS Comput. Biol. 6(8) (2010) - [j1]Ulrik R. Beierholm, Peter Dayan:
Pavlovian-Instrumental Interaction in 'Observing Behavior'. PLoS Comput. Biol. 6(9) (2010)
2000 – 2009
- 2007
- [c1]Ulrik R. Beierholm, Konrad P. Körding, Ladan Shams, Wei Ji Ma:
Comparing Bayesian models for multisensory cue combination without mandatory integration. NIPS 2007: 81-88
Coauthor Index
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