Hierarchical topographic factor analysis. - Jeremy R. Manning; Rajesh Ranganath; Waitsang Keung; Nicholas B. Turk-Browne; Jonathan D. Cohen 003; Kenneth A. Norman; David M. Blei (PRNI, 2014)

Unsupervised Learning of Cone Spectral Classes from Natural Images. - Noah C. Benson; Jeremy R. Manning; David H. Brainard (PLoS Comput. Biol., 2014)

Enabling factor analysis on thousand-subject neuroimaging datasets. - Michael J. Anderson; Mihai Capota; Javier S. Turek; Xia Zhu; Theodore L. Willke; Yida Wang 003; Po-Hsuan Chen; Jeremy R. Manning; Peter J. Ramadge; Kenneth A. Norman (IEEE BigData, 2016)

HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data. - Andrew C. Heusser; Kirsten Ziman; Lucy L. W. Owen; Jeremy R. Manning (J. Mach. Learn. Res., 2017)

Quail: A Python toolbox for analyzing and plotting free recall data. - Andrew C. Heusser; Paxton C. Fitzpatrick; Campbell E. Field; Kirsten Ziman; Jeremy R. Manning (J. Open Source Softw., 2017)

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. - Jeremy R. Manning; Xia Zhu; Theodore L. Willke; Rajesh Ranganath; Kimberly L. Stachenfeld; Uri Hasson; David M. Blei; Kenneth A. Norman (NeuroImage, 2018)

Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings. - Jeremy R. Manning (CoRR, 2022)

davos: a Python "smuggler" for constructing lightweight reproducible notebooks. - Paxton C. Fitzpatrick; Jeremy R. Manning (CoRR, 2022)

Temporal asymmetries in inferring unobserved past and future events. - Xinming Xu; Ziyan Zhu; Jeremy R. Manning (CogSci, 2023)

Davos: A Python package "smuggler" for constructing lightweight reproducible notebooks. - Paxton C. Fitzpatrick; Jeremy R. Manning (SoftwareX, 2024)