Paul Bays
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bayslab.org
Paul Bays
@bayslab.org
Computational cognitive scientist, Professor at University of Cambridge.
Reposted by Paul Bays
New preprint with Sebastian Schneegans and @bayslab.org
doi.org/10.31234/osf...

Here, we ask whether the key limits of working memory - load and retention interval - are independent, or do they interact? Despite years of research, this question is still much debated.
#psychscisky #neuroskyence 1/6
September 24, 2025 at 12:03 PM
Now out in Comms Psych: the "anti-Bayesian" size-weight illusion is a consequence of the brain focusing resources on encoding typical combinations of size and weight (i.e. "efficient coding"). Explains the material-weight illusion too www.nature.com/articles/s44...
Weight illusions explained by efficient coding based on correlated natural statistics - Communications Psychology
Weight illusions reflect the efficient coding of everyday experiences with objects. Bayesian models that account for the resulting differences in discriminability predict the size-weight and material-...
www.nature.com
January 29, 2025 at 3:03 PM
We have an opening for a postdoc to work on a collaborative project with Máté Lengyel (UCambridge Engineering) combining machine learning methods with human experiments on visual perception and memory www.jobs.cam.ac.uk/job/49299/
November 21, 2024 at 5:19 PM
Out now in NHB (finally!), a review of visual working memory from a computational perspective, with @weijima01 @timothyfbrady and Sebastian Schneegans.
November 19, 2024 at 8:53 PM
Nice commentary from @salinas_urgent and @mangosheikh_B on our new eLife paper
November 19, 2024 at 8:53 PM
The size-weight illusion is a by-product of efficient sensory coding adapted to the combinations of volume and mass found in everyday objects. New preprint
November 19, 2024 at 8:53 PM
We measured how effectively observers can reallocate working memory resources to new visual items when old ones become obsolete - people are surprisingly good at it! New paper with @ivntmc @dataforyounz @DAagtenMurphy
November 19, 2024 at 8:53 PM
A critique of the psychological similarity account of working memory errors: work with @ivntmc now out in JEP:LMC
November 19, 2024 at 8:52 PM
New work with Jess McMaster & others: we show swap errors (item confusions) in cued recall are not a strategic response to forgotten items, but instead occur at exactly the rate predicted by variability in recall of the cue features
November 19, 2024 at 8:52 PM
New in Psych Review with Sebastian Schneegans & Jess McMaster: comparing the roles of time and space in binding features in working memory
November 19, 2024 at 8:52 PM
We have an opening for a post-doc (or potentially a talented graduate RA) to research computational mechanisms of visual perception/memory using online and offline experiments - note deadline 11 Aug
November 19, 2024 at 8:52 PM
Views of an object before and after a saccade may be combined even if you are aware the object has changed - new with Garry Kong, @DAagtenMurphy and Jess McMaster.
November 19, 2024 at 8:52 PM
New in JOV: the ability to combine visual evidence across gaze fixations depends on a limited but flexible memory resource
November 19, 2024 at 8:52 PM
New paper on the consequences of stroke for recall precision and binding in visual WM, a collaboration with Roy Kessels and colleagues at the Donders (@DondersInst)
November 19, 2024 at 8:52 PM
Our new Analogue Report Toolbox can be downloaded at . It implements in MATLAB a range of methods we use in the Bays lab for analyzing and modelling behavioural responses on VWM recall tasks, including...
November 19, 2024 at 8:52 PM
Our new PNAS paper reveals how the main competing models of working memory limits can all be interpreted in terms of sampling. A number of surprises, including that item limits don't require discrete representations.
November 19, 2024 at 8:52 PM
New with @robthedatafiend in Psych Review: for every visual feature dimension there is a consistent upper bound on the "s.d." you can obtain by fitting errors with a normal+uniform mixture...and it just might be telling us something about neural tuning!
November 19, 2024 at 8:52 PM
"Stochastic sampling provides a unifying account of working memory limits" - our new preprint:
November 19, 2024 at 8:52 PM
A short note on BioRxiv on the relationship between the psychophysical scaling account of working memory by @timothyfbrady @markSchurgin and population coding models of the same:
November 19, 2024 at 8:52 PM
Asymmetric competition in visual working memory: storing orientations doesn't affect memory for facial expressions, but storing expressions degrades orientation recall - new paper with Viljami Salmela on WM at different levels of the visual hierarchy:
November 19, 2024 at 8:52 PM
An independent store in working memory for the locations of visual objects in relation to one another: provides a separate source of information for recalling locations and doesn't tap absolute (egocentric) WM resources - work with @DAagtenMurphy: PDF here
November 19, 2024 at 8:52 PM
We have an opening for a graduate Research Assistant to join @BaysLab. More info here:
November 19, 2024 at 8:52 PM
A Journal of Neuroscience "journal club" about our work on drift in working memory representations, by Ben Cuthbert & Dominic Standage
November 19, 2024 at 8:52 PM
Our new review article identifies three distinct functions of transsaccadic memory
November 19, 2024 at 8:52 PM