Predictions Shape Event-Based Episodic Memory Organization: https://osf.io/68wkj

Nice study looking at memory cuing when recalling information about a movie (Sherlock - obvs). Within-event cuing little better than between-event cuing. In fact, gist recall is better following a cue from the preceding event which may help "maintain contiguity". www.frontiersin.org/journals/psy...

New paper 🌟out now in Nat. Neurosci.: www.nature.com/articles/s41.... With advisors @davidpoeppel.bsky.social and @Nai! We show that, while LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategically grouping words into constituents. 1/n More 👇

To accompany my textbook (Computational Foundations of Cognitive Neuroscience) and the class I taught this semester, I'm open-sourcing my lectures slides: gershmanlab.com/lectures.html I'll continue to update these as I improve them.

Excited to share my first-author paper now out in @natcomms.nature.com (www.nature.com/articles/s41...)! Here, we asked whether verbal narratives about social interactions activate the same brain areas as audiovisual presentations, and whether they overlap with theory of mind (ToM). (1/11)

Using repeated autobiographical recall, this study shows that internal thoughts and feelings are less stable over time than externally oriented details, yet their retention and stability contribute to the perceived importance of personal memories. www.nature.com/articles/s44...

Curious what a representation of "everything" you know might look like? Wonder how you might fill it in? Check out our demo and paper (led by @paxt0n4.bsky.social and now out in @natcomms.nature.com ), or read on to learn more! Demo: context-lab.com/mapper/ Paper: www.doi.org/10.1038/s414...

The role of context in continuity and segmentation

Our experiences have countless details, and it can be hard to know which matter. How can we behave effectively in the future when, right now, we don't know what we'll need? Out today in @nathumbehav.nature.com , @marcelomattar.bsky.social and I find that people solve this by using episodic memory.

Hierarchical Context Guides Human Memory Search: https://osf.io/mbwe9

Hippocampal-guided reconstruction of an event's prior temporal context https://www.biorxiv.org/content/10.1101/2025.08.05.668710v1

How does the brain🧠 make causal inferences and use memories to understand narratives🎬? We built an RNN🤖 with key-value episodic memory that learns causal relationships between events and retrieves memories like humans do! Preprint www.biorxiv.org/content/10.1... w/ @qlu.bsky.social, Tan Nguyen &👇

1/ 🚨 Preprint alert! How does the brain make sense of continuous experience? We find that continuous experiences can be compressed using a subset of key moments that dominate comprehension and recall. 👉 https://doi.org/10.1101/2025.08.30.673233

Hierarchical coding of local and global positions in episodic memory for naturalistic sequences https://www.biorxiv.org/content/10.1101/2025.08.26.672267v1

The preprint of my 1st project in grad school is up 🙌 We propose a simple, information-theoretic model of how humans remember narratives. We tested it with the help of open-source LLMs. Plz check out this thread for details ➡️ Many thanks to my wonderful advisors! It's been a fun adventure!!

New preprint! Thrilled to share my latest work with @esfinn.bsky.social -- "Sensory context as a universal principle of language in humans and LLMs" osf.io/preprints/ps...

Excited to share our new preprint! Using a narrative reading paradigm, we showed that temporal order memory reconstruction can depend on multiple sources of information - factors like knowledge about typical event order and hierarchical event structure can both play important roles! 📖🧠

I want to highlight a special issue in honor of Sarah DuBrow, a brilliant scientist and dear friend who passed away in 2022. We contributed a paper in which we disentangled the importance of temporal and causal relationships while participants recalled the non-linear narrative, Memento. 🧵 ⬇️ 1/9

Key-value memory is an important concept in modern machine learning (e.g., transformers). Ila Fiete, Kazuki Irie, and I have written a paper showing how key-value memory provides a way of thinking about memory organization in the brain: arxiv.org/abs/2501.02950

Excited to have this out in @natureportfolio.bsky.social! We found that real & fictional people communicate roughly 1.5x more about the past than the future. In turn, this influences the interferences we make about past & future events in *other* people's lives. www.nature.com/articles/s41...