Author

Julie Y. L. Chow

UNSW SydneyORCID 0000-0002-7515-9601Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Ben ColagiuriiD· 1 shared Evan James LiveseyiD· 1 shared Hilary J. DoniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Ben ColagiuriORCID

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1 paper

Recent·Most cited

Predicting continuous outcomes: Some new tests of associative approaches to contingency learning.

Julie Y. L. Chow, Hilary J. Don, Ben Colagiuri, Evan James Livesey

This paper introduces a Distributed Model to better capture continuous outcomes in contingency learning, showing it fits empirical data better than traditional models.

PLoS Computational Biology · Jun 26, 2026Peer-reviewedAnimal Behavior & Cognition