William Ngiam | 严祥全
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williamngiam.github.io
William Ngiam | 严祥全
@williamngiam.github.io
Cognitive Neuroscientist at Adelaide University | Perception, Attention, Learning and Memory Lab (https://palm-lab.github.io) | Open Practices Editor at Attention, Perception, & Psychophysics | ReproducibiliTea | http://williamngiam.github.io
This work by @mattpanichello.bsky.social and @timbuschman.bsky.social on discrete attractor dynamics to counteract noise in working memory (across both humans and monkeys!) immediately comes to mind: www.nature.com/articles/s41.... I've been exploring stimulus-specific effect as of late...
Error-correcting dynamics in visual working memory - Nature Communications
Neural representations in working memory are susceptible to internal noise, which scales with memory load. Here, the authors show that attractor dynamics mitigate the influence of internal noise by pu...
www.nature.com
January 7, 2026 at 12:30 PM
We can, for simplicity, assume the format is identical across tasks and conditions, but that ought to be made explicit. I think it is promising to look at how working memory obeys efficient coding/predictive processing principles, or towards dynamics in WM following learning or otherwise.
January 6, 2026 at 10:05 PM
Yes! If you click on the page, you can see the datasets are tagged with consistent labels for task, stimulus, data format, data level, and other relevant tags for easier search and potential integration (which is one of the goals).
January 2, 2026 at 10:26 PM
Big shoutout to @ckoolh.bsky.social, @yonghoonchung.bsky.social, @shichen-j.bsky.social, @marleneroesner.bsky.social and @philippmusfeld.bsky.social for helping curate some of the datasets so far! DM if you would like to help with contributing or maintaining the simple database – it's easy!
January 2, 2026 at 11:13 AM
OpenWMData has over 30 tagged datasets already, with Klaus Oberauer (forever setting an example for our field) and leading the way with five datasets so far! I wonder if anyone can top that and claim they are truly making their data findable and reusable...
January 2, 2026 at 11:11 AM
And if this grabbed your attention, you are likely interested in Robert Logie's recent addition: Working Memory, Prospective Memory, and Self-Reported Everyday Memory and Lifestyle: Data from a Large Scale Internet Study with 408,938 Participants williamngiam.github.io/OpenWMData/l...
Logie et al. (2020) · OpenWMData
We describe a set of multiple measures of working memory and self-report data on memory, together with lifestyle factors, collected over the internet from 408,938 participants, aged from 8 years to 90
williamngiam.github.io
January 2, 2026 at 10:58 AM
What would exist at scale if we value having a considered and embedded philosophy of science i our practice? Say, one that ideally includes a belief in process and generating knowledge with the care for society in mind? I hazard not works like these...
December 12, 2025 at 10:54 PM