A very interesting coverage of the recent work from the lab www.nature.com/articles/s41... conducted by @matthewrlogie.bsky.social & @grassocamille.bsky.social @brainthemind.bsky.social @unicog.bsky.social

Daily Neuron@dailyneuron.bsky.social · 2w ago

Ask when something happened and the mind starts at now, running backward. Twenty-six people in VR headsets showed how fast that rewind goes. #cogsci dailyneuron.com/backward-sca...

🎉 *extremely* excited to share our human single neuron + movie dataset is out in #ScientificData! 📄 Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients 🔗https://www.nature.com/articles/s41597-026-07955-0 1st public dataset from @humansingleneuron.bsky.social!🧵

www.nature.com/articles/s41...

Excited to share that my first-ever first-author paper (w/ @atabk.bsky.social @AngeliqueDelarazan @zreagh.bsky.social) is now out in PNAS! Building a story to link two objects boosts associative memory and inference, but not memory for the objects themselves. www.pnas.org/doi/10.1073/... 🧵

Active linking through narratives facilitates associative inference | PNAS

In daily life, we often draw inferences about novel associations from prior experiences. This ability, associative inference, is thought to be a ke...

pnas.org

Our paper is out in @natmachintell.nature.com! We trained multiple RNNs to perform free recall. The best-performing ones learned a strategy akin to the memory palace technique. See thread below for more info. www.nature.com/articles/s42...

A neural network model of free recall learns multiple memory strategies - Nature Machine Intelligence

Li et al. show that recurrent neural networks optimized for free recall discover diverse, human-like memory strategies beyond classical temporal context models, with top models using an index-based me...

nature.com

New work on agency and memory by @xianl-explorer.bsky.social, Janice Chen, myself and others! Using choose-your-own-adventures, we found that agency doesn’t always improve memory. Instead, agency personalized memory ❄️ ❄️ — even when people read the same text. www.nature.com/articles/s41...

Fun story about this paper, which I'm really excited about! This came out of a classic nerdswipe by @noahdgoodman.bsky.social - we were teaching together this winter and he said "is it time for robots to do psychology?"

Ben Prystawski@benpry.bsky.social · 2mo ago

New preprint! AI agents have shown impressive scientific automation capabilities. Can we apply them to psychology research, *including* human data collection? We introduce auto-psych, a framework that proposes cognitive models and uses them to design and run human experiments. 1/

Finally out in Psychological Review (psycnet.apa.org/doi/10.1037/...), our update to Signal Detection Theory. We show that contrary to the prevailing Gaussian assumption, evidence distributions in recognition memory are likely minimum extreme Gumbel!

Henrik Singmann@singmann.bsky.social · last yr.

Honey, we fixed Signal Detection Theory (SDT)! In this preprint, Constantin Meyer-Grant, David Kellen, Sam Harding, and I critically evaluate the (unequal-variance) Gaussian SDT model in recognition memory and pursue the Gumbel-min model as a principled alternative: doi.org/10.31234/osf... 🧵

The contribution of retrieval processes to behavioural markers of event segmentation osf.io/preprints/ps...

Check out this 4-part series on a really rewarding collaboration with filmmakers @theskindeep.bsky.social We’ve been conducting research on their videos, and they created videos about our research! Excited to see what unfolds as we continue digging deeper together. www.youtube.com/playlist?lis...

The Science of Human Connection - YouTube

youtube.com

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...

Frontiers | Separating the details while maintaining the story: within event episodic integration and across event semantic contiguity in memory

The within > across effect refers to improved memory for information cued from within the same event compared to across events. Although this effect has been...

frontiersin.org

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...

Retention and transformation of internal experiences in autobiographical memory narratives - Communications Psychology

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...

nature.com

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...

Knowledge Mapper

An interactive tool that maps out everything you know. Answer questions and watch your personalized knowledge map take shape.

context-lab.com

The role of context in continuity and segmentation

The role of context in continuity and segmentation

Nature Human Behaviour, Published online: 11 February 2026; doi:10.1038/s41562-026-02403-wAcross three experiments, Baror et al. show that context shifts reduce serial dependence (bias towards prior choices) and shape memory at event boundaries.

dlvr.it

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.

Episodic memory facilitates flexible decision-making via access to detailed events - Nature Human Behaviour

Nicholas and Mattar found that people use episodic memory to make decisions when it is unclear what will be needed in the future. These findings reveal how the rich representational capacity of episod...

nature.com

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 &👇

A neural network with episodic memory learns causal relationships between narrative events

Humans reflect on past memories to make sense of an ongoing event. Past work has shown that people retrieve causally related past events during comprehension, but the exact process by which this causa...

biorxiv.org

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!!

Alexander Huth@alexanderhuth.bsky.social · last yr.

New paper with @mujianing.bsky.social & @prestonlab.bsky.social! We propose a simple model for human memory of narratives: we uniformly sample incoming information at a constant rate. This explains behavioral data much better than variable-rate sampling triggered by event segmentation or surprisal.

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! 📖🧠

Jeff Zacks@jzacks.bsky.social · last yr.

New preprint from Yining Ding (@liliand.bsky.social)! "Temporal order memory in naturalistic events is scaffolded by semantic knowledge and hierarchical event structure" osf.io/preprints/ps...

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

Deepu Murty@vpmurty.bsky.social · 2y ago

I want to draw attention to a special issue that Lila Davachi and I put together to memorialize our friend and colleague Sarah DuBrow. It’s full of papers inspired by her work and her being from a group of collaborators, friends, and fans! Thanks @bradpostle.bsky.social for helping make this happen.

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

Key-value memory in the brain

Classical models of memory in psychology and neuroscience rely on similarity-based retrieval of stored patterns, where similarity is a function of retrieval cues and the stored patterns. While parsimo...

arxiv.org