Associative learning changes multivariate neural signatures of visual working memory
May 21, 2024
May 18, 2025
Talk presentation by William Ngiam at VSS 2024 on how training subjects to learn color pairs and color triplets leads to changes in multivariate neural signatures of visual working memory load. We find there is a reduction in working memory load following associative learning, and the introduction of an additional signal that we speculate is the involvement of long-term memory.
Spatiotemporal processing drives contralateral delay activity in a dual working memory and attentional tracking task
May 19, 2024
May 18, 2025
Talk presentation by Piotr Styrkowiec at VSS 2024 on our novel attentional tracking and working memory task – a hybrid of multiple-object tracking and multiple-identity tracking. We look at the contralateral delay activity, an event-related potential component known to track visual working memory load during the task, and find that it seems to track the number of discs to remember rather than the number of colors that need to be remembered.
Associative learning changes multivariate neural signatures of working memory load
November 16, 2023
May 18, 2025
A conference poster presented by William Ngiam at OPAM 2023 showing training to learn color pairs changes neural signatures of working memory load.
Probing working memory pointers by examining contralateral delay activity with moving and updating stimuli
May 19, 2023
May 18, 2025
A pre-data poster presented by Piotr Styrkowiec and William Ngiam at the Vision Sciences Society Meeting in 2023.
Evidence for object-based encoding into visual working memory
May 13, 2022
May 18, 2025
A conference poster presented by William Ngiam at the Vision Sciences Society Meeting in 2022, showing evidence for object-based encoding limits in visual working memory using a novel conjunction whole-report paradigm.
Memory compression effects in visual working memory are contingent on explicit long-term memory
November 15, 2019
May 18, 2025
A conference poster presented by William Ngiam at the Psychonomics conference in 2019, showing benefits of statistical learning required explicit awareness of the statistical regularities, suggesting a long-term memory account for the benefit.
