Marlie Tandoc
cognitive neuroscientist previously at upenn | learning and memory
- So excited to see this out!
- New preprint! Statistical structure skews object memory toward predictable successors. Model simulations show how this bias can arise from the backward expansion of hippocampal representations. w/co-first @codydong.bsky.social , @marlietandoc.bsky.social & @annaschapiro.bsky.social osf.io/yuxb6_v1
- Can't believe this chapter of my life is coming to an end 😭💕 Anna has been the best mentor I could have ever asked for. Vibrant, intelligent, empathetic. I'm so lucky to have been part of her lab from the start and can't wait to keep watching the lab and its science flourish in the years to come 🌸
- Presenting DR. Tandoc!!! @marlietandoc.bsky.social It has been such a joy to get to work with this brilliant, creative, and fun person. Marlie was key to building both our lab's research program and its community from the very beginning, and we are going to miss her immensely. 💜 🥲
- Reposted by Marlie TandocWhy do we remember so many details of our experiences even when it is unclear if we will actually ever need them? In a new preprint, @marcelomattar.bsky.social and I asked whether this property is adaptive, because what will be relevant in the future often (usually?!) isn’t apparent.
- Honored to have this research featured on the Under the Cortex podcast! Opportunities like this are incredibly valuable to us trainees and I've definitely been learning a lot on how to communicate science to the public. Thank you so much to the APS for giving me the opportunity :)
- New paper out! Memory for object features is warped according to their role in a category, w/ features shared across category-mates misremembered as more similar. We explored the phenomenon in our NN model of the hipp. w/ @annaschapiro.bsky.social & @codydong.bsky.social doi.org/10.1162/opmi...
- New preprint! We show that category structure rapidly warps memory for individual object features according to their roles in the category. Features shared across exemplars pull together while unique features stay apart. With @annaschapiro.bsky.social and Cody Dong. doi.org/10.31234/osf...
