Author

Ben Colagiuri

The University of SydneyORCID 0000-0003-2157-2641Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Evan James LiveseyiD· 1 shared Hilary J. DoniD· 1 shared Julie Y. L. ChowiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperAnimal Behavior & Cognition

Evan James LiveseyORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Animal Behavior & CognitionPLoS Computational BiologyPeer-reviewedJun 26, 2026

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.

1 citation

deep learningstatistical model

𝕏 PostBluesky