So excited to see this out👇 led by the amazing Z

Now out in JEP:LMC! It's easier for humans and NN models to learn a new category if it has clusters of covarying features (i.e. modular feature structure). This suggests that feature-based structure may be encoded into new category reps. w/ Dr. Anna Schapiro psycnet.apa.org/fulltext/2023-…

This paper is now officially out in Journal of Cognitive Neuroscience! In it, we use intracranial recordings to explore how the brain rapidly extracts temporal structure across experiences! direct.mit.edu/jocn/article/3…

Thrilled to share this paper, in which we propose a new framework for how the hippocampus, striatum, & amygdala might each represent multiple *opposing* kinds of memory. We discuss consequences for behavior, including how we may need to rethink the ways stress influences memory!

Excited to share new work with Elizabeth Siefert & Dr. Anna Schapiro at #CogSci2023 tomorrow (Fri)! I'll be chatting about how people rapidly build up new knowledge and how they subsequently integrate new information into that recently acquired knowledge structure. brynnsherman.github.io/Sherman_CogSci…

My undergrad thesis is out! 🥳In it we posit that the pupillary old/new effect (greater pupil dilation to old than new items in recognition memory) reflects the facilitation of cue-trace interactions (ecphory) by the LC-NA system. 👀🧠onlinelibrary.wiley.com/doi/full/10.11…

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 Dr. Anna Schapiro and Cody Dong. doi.org/10.31234/osf.i…

New preprint with Nathaniel Daw and Daphna Shohamy! We often have to make choices we've never made before. One way to do so is by knitting together relevant memories to form new relationships. When do people access their memories to construct preferences? biorxiv.org/content/10.110…

Our model of how the hippocampus contributes to category learning is now out in eLife! With Dr. Anna Schapiro elifesciences.org/articles/77185

Excited to release this preprint with Dr. Anna Schapiro and Thompson-Schill Lab! Humans and recurrent neural nets can learn slow temporal statistics in the presence of fast timescale dependencies. tinyurl.com/mseu44un

Are semantic representations stable or plastic over time? VERY excited to share this preprint, revealing plasticity within the MTL: reps in parahippocampal cortex drift over ~8 months and are also rapidly reshaped within ~1 hour. w/ Dr. Anna Schapiro cvnlab biorxiv.org/content/10.110…

🚨 Job alert! My new lab at Binghamton University is hiring a full-time lab manager ("assistant"). This is a great fit for a recent grad looking for cog/comp neuro research experience before grad school. Details & job link below, and feel free to reach out with questions!

So excited to see this out. Liz has done and continues to do amazing work in the lab!!

New paper out now in Cognition! The approximate number system (ANS) enables organisms to represent the approximate number of items in a collection, but numbers of what kind? We present evidence that the ANS represents rational numbers. authors.elsevier.com/a/1jFWE2Hx2xK-a

Does encoding the present compete with predicting the future? In 3 behavioral studies, we find that encoding and prediction are coupled, not competitive! Proud of Craig Poskanzer & Hannah Tarder-Stoll for leading this work w/ Raheema Javid & Edoardo Spolaore! osf.io/preprints/psya…

Paying attention can affect the learning of children and adults differently. On one task, adults learned better when told to attend to the task, but children learned regardless: bit.ly/4gnTBKv #psychology Marlie Tandoc

Check out this article which covers some of the cool research I did with Learning and Neural Development Lab !