Publications

See also Research Gate, Google Scholar, Orchid ID


Hird, Beierholm, De Boer, Axelsson, Beckman & Guitart-Masip

“Dopamine and reward-related vigor in younger and older adults”

Neurobiology of Aging 118, p34-43 (2022)


Aston, Beierholm, & Nardini

“Newly learned novel cues to location are combined with familiar cues but not always with each other”

Journal of Experimental Psychology: Human Perception and Performance 48(6), 639–652 (2022)


Hart, Achakulvisut, …, Beierholm, ...

"Neuromatch Academy: a 3-week, online summer school in computational neuroscience"

Journal of Open Source Education 5 (49) (2022)


Shams & Beierholm

“Bayesian Causal Inference: A Unifying Neuroscience Theory”

Neuroscience & Biobehavioral Reviews, 137, 104619 (2022)


Wiese, Anderson, Tuettenberg, Beierholm, Young & Burton

“Detecting a viewer’s familiarity with a face: Evidence from event-related brain potentials and classifier analyses”

Psychophysiology, e13950 (2021)


Aston, Negen, Nardini, Beierholm

“Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data”

Behaviour Research Methods, 10.3758/s13428-021-01633-2 (2021)


Beierholm*, Rohe*, Ferrari, Stegle & Noppeney

“Using the past to estimate sensory uncertainty”

eLife 2020;9: e54172 (2020).


Prew, Breckon, Bordewich, Beierholm

“Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss”

Proceedings from the International Conference on Pattern Recognition 2020.


Wedge-Roberts, Aston, Beierholm, Kentridge, Hurlbert, Nardini, and Olkkonen

“Specular highlights improve colour constancy when other cues are weakened”

Journal of Vision, 20, (12) (2020).


Kiryakova, Aston, Beierholm, Nardini

“Bayesian transfer in a complex spatial localisation task”

Journal of Vision, 20(6):17 (2020) doi.org/10.1167/jov.20.6.17


Spicer, Sanborn & Beierholm

“Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerosity judgements”

Cognitive Psychology, 122, 101309 (2020) doi.org/10.1016/j.cogpsych.2020.101309


Jones, Beierholm, Meijer & Noppeney

“Older adults sacrifice response speed to preserve multisensory integration performance”

Neurobiology of Aging, 84, 148-157 (2019) doi.org/10.1016/j.neurobiolaging.2019.08.017


Ursino, Cuppini, Magosso, Beierholm & Shams

"Explaining the effect of likelihood manipulation and prior through a neural network of the audio-visual perception of space"

Multisensory Research, 32 (2), 111-144 (2019) doi.org/10.1163/22134808-20191324


Odegaard, Beierholm, Carpenter and Shams,

"Prior expectation of objects in space is dependent on the direction of gaze"

Cognition, 182: 220-226 (2019) doi.org/10.1016/j.cognition.2018.10.011 [PDF]


Taheri, Rotshtein & Beierholm,

"The effect of attachment and environmental manipulations on cooperative behavior in the prisoner’s dilemma game"

PLoS ONE 13(11): e0205730 (2018). doi.org/10.1371/journal.pone.0205730


Reniers, Beierholm & Wood

“Reward sensitivity and behavioural control: neuroimaging evidence for brain systems underlying risk-taking behaviour”

Book chapter in ‘The Wiley-Blackwell Handbook of Forensic Neuroscience’, Wiley-Blackwell (2018). doi.org/10.1002/9781118650868.ch5


Yates, Larigaldie, & Beierholm. "A non-parametric Bayesian prior for causal inference of auditory streaming."

In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 1381-1386). Austin, TX: Cognitive Science Society (2017). doi.org/10.1101/139188


Jucker, Thornborrow, Beierholm, Burt, Barton, Evans, Jamieson, Tovee, & Boothroyd

"Nutritional status and the influence of TV consumption on female body size ideals in populations recently exposed to the media"

Scientific Reports 7, 8438. doi:10.1038/s41598-017-08653-z (2017)


Griffiths & Beierholm

"Opposing effects of reward and punishment on human vigor"

Scientific Reports, 7, 42287. doi:10.1038/srep42287 (2017)


Sanborn & Beierholm

“Fast and accurate learning when making discrete numerical estimates”

PLoS Comput Biol 12(4): e1004859. doi: 10.1371/journal.pcbi.1004859 (2016)


Beierholm

“Bayesian models of perception”

Encyclopedia of Computational Neuroscience, Springer Verlag (2015).


Beierholm

"Bayesian Approaches in Computational Neuroscience: Overview”

Encyclopedia of Computational Neuroscience, Springer Verlag (2015).


Beierholm

"BUGS on the brain: Using probabilistic programming for modeling human perception"

Workshop proceedings from 3rd NIPS Workshop on Probabilistic Programming (2014) [PDF]


Beierholm

“Bayes Optimality of Human Perception, Action and Learning: Behavioural and Neural Evidence”

Lecture Notes in Computer Science, 8603, pp. 117–129, Springer Verlag (2014). [PDF]


Beierholm*, Guitart-Masip*, Economides, Chowdhury, Duzel, Dolan & Dayan

“Dopamine Modulates Reward-Related Vigor”

Neuropsychopharmacology, 38: 1495-1503 (2013). [PDF]


Guitart Masip*, Beierholm*, Dolan, Duzel & Dayan

“Vigor in the face of fluctuating rates of reward: An experimental examination”

Journal of Cognitive Neuroscience 23:12 (2011). [PDF]


Wunderlich, Beierholm, Bossaerts & O’Doherty

”The human prefrontal cortex mediates integration of potential causes behind observed outcomes"

Journal of Neurophysiology 106:1558-1569 (2011). [PDF]


Beierholm, Anen, Quartz & Bossaerts

“Separate encoding of model-based and model-free valuations in the human brain”

NeuroImage 58(3):955-62 (2011). [PDF]


Shams & Beierholm

“Humans' Multisensory Perception, from Integration to Segregation, Follows Bayesian Inference”

Book chapter in Sensory Cue Integration, Oxford Press (2011).


Beierholm & Dayan

“Pavlovian-Instrumental interactions in Observing Behavior”

PLoS Comput Biol 6(9): e1000903 (2010). [PDF]



Shams & Beierholm

“Causal Inference in Perception”

Trends in Cognitive Sciences. 14: 425-432 (2010). [PDF]


Wozny, Beierholm & Shams

“Probability matching as a computational strategy used in low-level perception”

PLoS Comput Biol 6(8): e1000871 (2010). [PDF]


Beierholm, Quartz & Shams

“Bayesian priors are encoded independently from likelihoods in human multisensory perception”

Journal of Vision, 9: 23, 1-11 (2009). [PDF]


Wozny, Beierholm & Shams

“Human tri-modal perception follows optimal statistical inference”

Journal of Vision, 8: 24, 1-11 (2008). [PDF]


Beierholm, Koerding, Shams & Ma

“Comparing Bayesian models for multisensory cue combination without mandatory integration”

Advances in Neural Information Processing Systems, 20: 81-88 (2008). [PDF]


Koerding*, Beierholm*, Ma*, Quartz, Tenenbaum & Shams

“Causal inference in multisensory perception”

PLoS One 9, e943 (2007). [PDF]


Beierholm, Brings Jacobsen, Alstrom & Holstein-Rathlou

“Characteristics of blood vessels forming ‘Sausages-on-a-String’ patterns during hypertension”

Physica A, 376: 387–393 (2007).


Shams, Ma & Beierholm

“Sound-induced flash illusion as an optimal percept”

Neuroreport, 16: 1923-1927 (2005). [PDF]


Brings Jacobsen, Beierholm, Mikkelsen, Gustaffsson, Alstrom & Holstein-Rathlou

"Sausage string appearance of arteries and arterioles can be caused by an instability of the blood vessel wall"

Am J Physiol - Regul Integr Comp Physiol, 283: R1181-R1130 (2002).


Alstrom, Beierholm, Nielsen, Ryge & Kiehn

"Reliability of neural encoding"

Physica A, 314: 61-68 (2002).


Beierholm, Nielsen, Ryge, Alstrom & Kiehn

"Characterization of reliability of spike timing in spinal interneurons during rhythmic inputs"

Journal of Neurophysiology, 86: 1858 (2001). [PDF]