Author

Casey Lew‐Williams

Princeton UniversityORCID 0000-0002-8781-4458Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Organism:human· 5 Assay:imaging· 3 Research Focus:database / resource· 1 Assay:electronic health records· 1

Frequent Co-Authors

Liat HasenfratziD· 3 shared Uri HassoniD· 3 shared Aja Altenhof· 2 shared Arkadii Tsyhanov· 2 shared Berlin Chen· 2 shared Elise A. PiazzaiD· 2 shared Hadas Raviv· 2 shared Kira Gousios· 2 shared

Activity by Year

2019-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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3 shared papersNeuroscience

Liat HasenfratzORCID

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Author profile →

5 papers

Recent·Most cited

Parents' neural dynamics in response to their children's speech

Steven Laine Elmlinger, Ella Rosenberg, Sagi Jaffe‐Dax, Mira L. Nencheva, Crystal Lee, Jessica Elizabeth Kosie, Casey Lew‐Williams

This study uses fNIRS to show that parents' brains respond differently to their children's speech based on its communicative complexity, suggesting feedback plays a role in language development.

bioRxiv · Sep 26, 2026 · PreprintNeuroscience

The First 1000 Days: An Agent-Based Model of Early Language Acquisition

Hadas Raviv, Arkadii Tsyhanov, Kira Gousios, Aja Altenhof, Haocheng Wang, Berlin Chen, Ofri Raviv, Tal Rosenwein, Casey Lew‐Williams, Liat Hasenfratz, Uri Hasson

The paper develops an agent-based model of early language acquisition using the First 1,000 Days dataset, showing that children's language learning can be simulated with a learning agent that discovers speech units and words, mirroring developmental trajectories.

bioRxiv · Apr 27, 2026 · PreprintNeuroscience

The First 1,000 Days (1kD) Project - Collecting and Analyzing an Ultra-Dense Naturalistic Dataset of Human Baby Development

Hadas Raviv, Liat Hasenfratz, Kira Gousios, Marian Faryna, Ricky Beaty, Dean Johnson, Berlin Chen, Aja Altenhof, Brooke Ryan, Chandra Greenberg, Zhuoqiao Hong, Gal Assayag, Arkadii Tsyhanov, Valery Malakhov, Tal Rosenwein, , Uri Hasson

The 1kD project collects and analyzes ultra-dense longitudinal data of infant development, revealing stable household-specific lexical structures not captured by sparse sampling.

bioRxiv · Mar 23, 2026 · PreprintNeuroscience

Neural synchrony predicts children's learning of novel words

Elise A. Piazza, Ariella Cohen, Juliana E. Trach, Casey Lew‐Williams

This study finds that neural synchrony between children during joint book reading correlates with their learning of novel words.

Cognition · May 6, 2021Peer-reviewedNeuroscience

Infant and adult brains are coupled to the dynamics of natural communication

Elise A. Piazza, Liat Hasenfratz, Uri Hasson, Casey Lew‐Williams

This study examines neural coupling during real-time interactions between infants and adults using fNIRS, finding increased synchronization and tracking of mutual gaze, emotion, and speech prosody.

Psychological Science · Dec 17, 2019Peer-reviewedNeuroscience