How does the visual system track moving objects while remembering the color of those objects? My latest research article (co-first with Piotr @styrkowiec.bsky.social) exploring this question using EEG is out in JoCN! @jocn.bsky.social #workingmemory #cognition #cogneuro #cogsci #neuro

Interestingly, midfrontal theta power could tell errors apart (Hit < Miss, FA < CR) regardless of whether images were learned before. Therefore, we proposed that our brain detects memory-based errors with ERN, and general recognition errors with midfrontal theta power. 3/3

First, error-related negativity (ERN) could tell whether our brain made a recognition error or not: but only for images that were learned (i.e. hits versus misses). It couldn't tell false alarms and correct rejections apart even though FAs were also errors. 2/3

🚨NEW paper alert at JEP:G: when we're making recognition memory decisions, are we aware of our recognition errors? The answer is YES (with two error detection systems for different purposes): (w/ Geoff Woodman & @keisukefukuda.bsky.social ) psycnet.apa.org/record/2026-... 1/3

In Study 4, we generalized our findings from WM to AC with the inclusion of Square tasks (by Engle lab), change localization task and filtering change localization task (used in our lab). Click on this to see more: sciencedirect.com/science/arti.... 5/5

In Study 3, we kept the presentation time at 250ms but gave participants a longer ISI, and we observed that the WM-LTM relationship as we saw in Study 1. This suggested that WM matters to LTM if people get more time to form spatio-temporal binding (during ISI). 4/5

However, in Study 2, if we speed up the presentation rate of the recognition memory task (250ms/image), WM stopped predicting recognition memory differences. This suggests that WM affects the formation of spatio-temporal binding of items formed only with slower presentation rates. 3/5

In Study 1, we found that working memory correlated with simple recognition memory when the images were presented slowly (3 seconds per image). The correlation holds even we regressed out source memory differences, suggesting that WM generally predicts LTM abilities. 2/5

New paper out at Journal of Memory and Language! We knew that individual differences in working memory predict source memory, but did it predict simple item recognition memory (that relied on less attention resources than source memory)? Our answer is: YES! (with @edvogel.bsky.social ) 1/5

Tonight 5-7 PM I’ll be presenting my poster at CNS @cogneuronews.bsky.social C46: “Repetition learning produces stronger and faster recollection during recognition” Don’t miss it if you’re interested in EEG and visual long-term memory! #CNS2025

Remember what your partner said during a heated argument? Or the rush of getting your first job offer? Why do these emotionally arousing moments stick? Across 3 studies, and 3 arousal measures, we found that emotional arousal enhances memory encoding by promoting functional integration in the 🧠 1/🧵

Attention here! We found ind. diff. & fMRI evidence that sustained attention is more closely related to long term memory than to attentional control. With the best team @monicarosenb.bsky.social @edvogel.bsky.social @annacorriveau.bsky.social @jinke.bsky.social

Thank uuuuu Kirsten!!!

Across 5 experiments, we found that working memory and attentional control (WMAC) ability continued to predict long-term memory (LTM) performance even after participants showed significant learning. Huge thanks to my advisor Dr. Ed Vogel!

New paper out now in JEP:G.

"Individual differences in working memory and attentional control continue to predict memory performance despite extensive learning."

psycnet.apa.org/doi/10.1037/xg…

The Awh Vogel lab is heading to Psychonomics!
We made a page on our lab website to cover everything, including Ed Awh's OPAM keynote address!

awhvogellab.com/conferences#...

Find the great work on display from Chong, Igor, Matthieu, me(?), and Park!

I'm so excited to read this special issue on interactions of working & long-term memory!

My article with @zhaochong.bsky.social and Ed Vogel is linked here, and I'll also be giving a talk on this paper at Psychonomics! #psynom24

link.springer.com/article/10.3...