Jeremy R. Manning

According to our database, Jeremy R. Manning authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Davos: A Python package "smuggler" for constructing lightweight reproducible notebooks.

Paxton C. Fitzpatrick, Jeremy R. Manning

SoftwareX, February, 2024

2022

davos: a Python "smuggler" for constructing lightweight reproducible notebooks.

Paxton C. Fitzpatrick, Jeremy R. Manning

CoRR, 2022

Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings.

Jeremy R. Manning

CoRR, 2022

2018

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

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

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

2016

Enabling factor analysis on thousand-subject neuroimaging datasets.

Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2014

Unsupervised Learning of Cone Spectral Classes from Natural Images.

Noah C. Benson, Jeremy R. Manning, David H. Brainard

PLoS Comput. Biol., 2014

Hierarchical topographic factor analysis.

Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, David M. Blei

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014