Jack Goffinet
Links
Papers
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Goffinet, J., Hanks, C., & Carlson, D. E. (2026).
Torus Graphs for Large Scale Neural Phase Analysis.
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Goffinet, J., Hanks, C., & Carlson, D. E. (2026).
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models. arXiv.
[arXiv]
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Goffinet, J., Min, Y., Tomasi, C., & Carlson, D. E. (2025).
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance. NeurIPS.
[arXiv]
[Paper]
[Repo]
[Data]
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Walder-Christensen, K. K., Goffinet, J., Bey, A. L., ... & Dzirasa, K. (2025).
Sleep-wake states are encoded across emotion-regulation regions of the mouse brain. eNeuro.
[Paper]
[bioRxiv]
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Goffinet, J., & Carlson, D. E. (2022).
Variational Bayesian Inference and Learning for Continuous Switching Linear Dynamical Systems. NeurIPS
Workshop on Gaussian Processes, Spatiotemporal Modeling, and
Decision-making Systems.
[PDF]
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Singh Alvarado, J., Goffinet, J., Michael, V., Liberti, W., Hatfield, J.,
Gardner, T., Pearson, J., & Mooney, R. (2021). Neural dynamics underlying
birdsong practice and performance. Nature, 1-5.
[URL]
[Repo]
[PDF]
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de Albuquerque, D.F., Goffinet, J., Wright, R., & Pearson, J. (2021).
Deep generative
analysis of task-based functional MRI experiments. In
Machine Learning for Health Care. JMLR.
[PDF]
[Repo]
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Goffinet, J., Brudner, S., Mooney, R., Pearson, J. (2021).
Low-dimensional learned feature spaces quantify individual and group
differences in vocal repertoires.
eLife.
[URL]
[Repo]
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Michael, V., Goffinet, J., Pearson, J., Wang, F., Mooney, R., Tschida, K.
(2020).
Circuit and synaptic organization of forebrain-to-midbrain pathways that
promote and suppress vocalization.
eLife.
[URL]
[Repo]
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Goffinet, J.
Little evidence for the vocal similarity hypothesis.
Proceedings of the National Academy of Sciences. 115.22 (2018):
E4957-E4957
[URL]
[PDF]
[Repo]
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Goffinet, J. (2018). The Emergence of Music Universals through Iterated
Pitch Learning: A Pilot Study.
[PDF]
[Repo]
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Goffinet, J., & Ramanujan, R. (2016).
Monte-carlo tree search for the maximum satisfiability problem.
International Conference on the Principles and Practice of Constraint
Programming. Springer, Cham.
[URL]
[PDF]
[Repo]