Author

Aja Altenhof

Princeton University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:database / resource· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Arkadii Tsyhanov· 2 shared Berlin Chen· 2 shared Casey Lew‐WilliamsiD· 2 shared Hadas Raviv· 2 shared Kira Gousios· 2 shared Liat HasenfratziD· 2 shared Ofri Raviv· 2 shared Tal Rosenwein· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Arkadii Tsyhanov

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2 papers

Recent·Most cited

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