New preprint alert: "Mapping the abstraction of song representations from perception to autobiographical memory", led by @rcassanocoleman.bsky.social, with @kellyjakubowski.bsky.social. osf.io/preprints/ps...

This project is one of our greatest undertakings as a lab, with Calli at the helm (in terms of data collection, transcription of speech features during naturalistic dialogue, and computational modeling), and we're excited to get everyone's feedback!

The SoNIC lab and friends are excited to arrive at Northwestern for #SMPC2026! Check out our talks and poster (featuring @rcassanocoleman.bsky.social, @kellyjakubowski.bsky.social, @jayneuro.bsky.social, @coralineiordan.bsky.social). 🎹 🎶🧠

The daily news is so rapid and horrific that I almost missed that Jane Goodall passed away today. One my greatest scientific achievements to date was being interviewed on NPR's Science Friday right after her. www.sciencefriday.com/episodes/oct...

The SoNIC Lab is in San Francisco for #CogSci2025; come check out our latest research!

Congratulations to @qingzhirubyzeng.bsky.social for winning a Best Poster Award at UR's Graduate Research Day. This is actually the second time Ruby has won this award, in two different years and for two different projects. Wow!!

Congratulations to @rcassanocoleman.bsky.social for winning an Open Scholarship Award for making her research accessible and reproducible to the community! Our lab is so proud of her! opensci.lib.rochester.edu/open-scholar... Stay tuned for some updates to our lab "resources" page.

This is a beast of a study! E.g., Experiment 3 alone uncovers new fundamentals of musical event segmentation (a relatively understudied topic). One takeaway here: musicians are more likely than non-musicians to perceive long-timescale (multi-phrase) events.

In general, we show that non-musicians use context quite effectively, which is surprising b/c this is relatively high-level tonal context (not driven by dynamics/timbre/tempo/pitch proximity). But musicians do perform better overall across tasks (including identifying the degree of scrambling).

Our lab has a new #musiccognition preprint out! This is a comprehensive look at how listeners integrate musical context across multiple timescales to complete a diverse array of tasks: memory, prediction, and event segmentation. osf.io/preprints/ps...