Excited to share our paper (with @jzacks.bsky.social), now out in JEP:LMC! Event boundaries sometimes disrupt temporal order memory in list-based paradigms—but what happens in narratives with more complex structures that better resemble real life? ✨ Link: psycnet.apa.org/record/2027-...

1/ 🚨 New preprint Key Moments Scaffold the Semantic Structure of Narratives Using spoken recall and annotations from three naturalistic datasets with topic modeling, we ask: which parts of a narrative contribute most to its semantic structure and subsequently memory? Preprint: osf.io/dcfvw

With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.

Finally out: www.eneuro.org/content/earl... fMRI during naturalistic story listening in noise, looking at event-segmentation and ISC signatures. Listeners stay engaged and comprehend the gist even in moderate noise. with @ayshamota.bsky.social @ryanaperry.bsky.social @ingridjohnsrude.bsky.social

New Preprint 🚨 This research with @alexbarnett.bsky.social, Yulia Lamekina, @barense.bsky.social, and @bjherrmann.bsky.social examines how background noise shapes event segmentation during continuous speech listening and its consequences for memory. osf.io/e67qr_v1 @auditoryaging.bsky.social

Building Bridges in Brain Data. The event will focus on open science practices, innovative methods, and community in the neurosciences, with opportunities to engage in collaborative projects or explore new tools. No prior expertise is required. Registration for BrainHack 2026 is still open!

New work from the lab: www.biorxiv.org/content/10.1... Mobile eye-tracking glasses assess listening effort through pupil size and eye movements as good as a stationary eye tracker. But mobile glasses also show that people reduce their head movements when listening becomes more effortful.

Excited to share the publication of our work which explores the application of LLMs in event segmentation and memory research. For researchers interested in applying these validated methods, an open-source module is available on GitHub (github.com/ryanapanela/EventRecall).

🚨 New preprint 🚨 Prior work has mapped how the brain encodes concepts: If you see fire and smoke, your brain will represent the fire (hot, bright) and smoke (gray, airy). But how do you encode features of the fire-smoke relation? We analyzed fMRI with embeddings extracted from LLMs to find out 🧵

Short speech utterances can be looped and after a few repetitions it sounds like the speaker is singing and once the switch from speech to song happens it never seems to go back. This paper we showed evidence for music knowledge being activated after the switch. www.sciencedirect.com/science/arti...

And that's a wrap on #ARO2025. Grateful for the opportunity to give my first international conference talk and for the chance to (re-)connect with an incredible group of researchers. See you next year in Puerto Rico for #ARO2026. @auditoryaging.bsky.social

New Preprint 🚨 This research with @bjherrmann.bsky.social, @alexbarnett.bsky.social, and @barense.bsky.social extends previous work exploring how LLMs can simulate human event segmentation, with applications for automated recall assessments. arxiv.org/abs/2502.13349